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<h3>Job Description</h3>
Job DescriptionOrbital Sidekick (OSK) is revolutionizing how the world understands and interacts with our planet. We are the leading hyperspectral satellite data and analytics company building the most advanced space-based infrastructure and proprietary "Spectral Intelligence™" platform. Our constellation of Global Hyperspectral Observation Satellites (GHOSt™) delivers unparalleled, persistent monitoring capabilities, capturing an unparalleled 500 bands of light to reveal the chemical fingerprints of targets on Earth. We provide actionable insights to critical sectors including Energy, Mining, Agriculture &amp; Forestry, Environmental &amp; Emergency Monitoring, and Defense &amp; Security, helping our clients optimize sustainable operations, mitigate risk, and enhance situational awareness globally. We're seeking an Applied Machine Learning Engineer who thrives at the intersection of theory and practice. You'll operate as both an applied scientist and systems builder, taking end-to-end ownership of ML solutions. We're looking for someone who can spot inefficiencies, architect solutions, and build the tools needed to scale our capabilities. This role is perfect for builders who are equally comfortable diving into ML theory, developing internal tools from scratch, and architecting production pipelines. You'll have the autonomy to identify gaps, propose solutions, and drive them to completion in a fast-moving startup environment.What You'll Do:
<ul>
<li>Identify and solve real problems: Collaborate with scientists to understand needs, then design and build the infrastructure to address them</li>
<li>Build production ML systems: Develop robust pipelines using orchestrators (Prefect, Airflow, Dagster) that move models from research to production</li>
<li>Create internal tools: Build developer-friendly tools that accelerate team productivity and model development workflows</li>
<li>Own the ML infrastructure: Design and maintain model repositories, experiment tracking, monitoring, and deployment systems</li>
<li>Bridge theory and practice: Apply ML theory to solve practical problems while building scalable, production-ready solutions</li>
<li>Optimize for impact: Focus on cloud resource optimization, model performance, and system reliability that directly supports product goals</li>
<li>Drive continuous improvement: Establish CI/CD, automated testing, and monitoring systems that ensure robust, reliable deployments</li>
</ul>
What You'll Bring:
<ul>
<li>3+ years of experience as an applied ML engineer or research engineer</li>
<li>BS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics, or related field</li>
<li>Theory meets practice: Strong foundation in ML theory combined with hands-on experience building production systems</li>
<li>Full-stack mindset: Comfortable developing internal tools, APIs, and user interfaces that solve real problems</li>
<li>Pipeline expertise: Proven experience architecting and maintaining complex workflows in orchestration frameworks</li>
<li>Ownership mentality: Track record of identifying needs, proposing solutions, and driving projects to completion</li>
<li>Production experience: Hands-on experience deploying, monitoring, and maintaining ML models in cloud environments (AWS)</li>
</ul>
Technical Stack:
<ul>
<li>Python, PyTorch, Weights &amp; Biases, MLFlow, DVC, Ray, Dask</li>
<li>Experience with workflow orchestrators (Prefect, Airflow, Dagster)</li>
<li>Cloud platforms (AWS) and containerization (Docker, Kubernetes)</li>
<li>Software engineering best practices (testing, CI/CD, version control)</li>
</ul>
Nice-to-Haves:
<ul>
<li>Experience building internal tools that other engineers love to use</li>
<li>Background in geospatial analytics, remote sensing, or hyperspectral data</li>
<li>Open source contributions or side projects that demonstrate building instincts</li>
<li>History of taking research prototypes to production scale</li>
<li>Passion for environmental applications and real-world impact</li>
</ul>
Why Join OSK?
<ul>
<li>Pioneering Technology:&nbsp;Be part of a company at the cutting edge of hyperspectral technology, making a real impact on industries and global challenges.</li>
<li>Growth Opportunity:&nbsp;Join a rapidly expanding team with ample opportunities for professional development and career advancement within the sales organization.</li>
<li>Impactful Work:&nbsp;Contribute to solutions that address critical issues in sustainability, security, and resource management.</li>
<li>Collaborative Culture:&nbsp;Work alongside a passionate and innovative team of engineers, data scientists, and industry experts.</li>
</ul>
Compensation includes a competitive equity package. Final pay will depend on candidate's skills, geographic location, qualifications, and experience as defined during the interview process.Location:&nbsp;San Francisco, CA (Hybrid model with a strong emphasis on collaboration in the office). ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a&nbsp;U.S. citizen&nbsp;or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State. Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Applied Scientist - Remote Sensing & Analytics

<h3>Job Description</h3>
Job DescriptionJoin NPAA’s Technical Team and Keep Us #1
NPAA is seeking a seasoned formulation leader to help us meet demanding customer timelines, deliver flawless dispersion performance, and uphold our position as the market leader in automotive OEM coatings.
Impact You’ll Make
<ul>
<li>Transform lab-scale pigment dispersions into high-performing prototypes.</li>
<li>Analyze dispersion quality for use in coating formulations (e.g., stability, particle size, color metrics).</li>
<li>Partner with operations to meet manufacturing process requirements and readiness.</li>
<li>Stay current with supplier innovations in raw materials and equipment.</li>
<li>Lead and support scale-up trials both on-site and off-site.</li>
<li>Assist dispersion manufacturing operations within NPAA as needed.</li>
<li>Deliver concise reports and management summaries aligned to project schedules.</li>
</ul>
What We Look For
<ul>
<li>BS in a science discipline with 5+ years relevant experience, or an advanced degree in Chemistry or Chemical Engineering.</li>
<li>Proven track record in pigment dispersion.</li>
<li>Working knowledge of common dispersing methods and horizontal mill operation.</li>
<li>Commitment to safe handling of paints and chemicals (PPE compliance).</li>
<li>Continuous improvement mindset and willingness to learn.</li>
<li>Capable of lifting up to 50 lbs.</li>
<li>Proficiency with Microsoft Office basics (Word, Excel).</li>
</ul>
Lead Beyond the Bench
Build trusted relationships with customers, suppliers, and cross-functional peers. Provide business process and technical training to chemists, and contribute to new business pursuits and internal process enhancements.
Compensation &amp; Benefits
<ul>
<li>Earned Bonus Structure: attendance bonuses, annual merit increases, and an annual incentive bonus plan.</li>
<li>Time Off &amp; Holidays: 11 paid holidays per year plus paid time off.</li>
<li>Health &amp; Retirement: comprehensive health and welfare plans, plus a 401(k) program with an exceptional company match.</li>
<li>Career Growth &amp; Recognition: tuition reimbursement, recognition programs, and advancement opportunities.</li>
<li>Culture &amp; Community: year-round company events celebrating our teams.</li>
</ul>
Equal Employment Opportunity
Nippon Paint Automotive Americas Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Lead Formulation Scientist, Automotive OEM Coatings

<h3>Job Description</h3>
Job DescriptionSalary: 
Security Clearance: Active TS/SCI with CI Polygraph required
 
Position
The National Reconnaissance Office (NRO) is the U.S. Government agency in charge of designing, building, launching, and maintaining Americas intelligence satellites. 
Develop. Acquire. Launch. Operate. 
Apogee's ideal Image Scientist is a key contributor performing image analysis and data characterization and trending. If you love Image Science and developing and/or applying tools to provide analytical insights, then you'll love Apogee and this position!
 
What You'll Do
<ul>
<li>Perform analysis on imagery, spectral imaging, metadata, and systems in support of trade studies and performance characterization</li>
<li>Provide system performance monitoring, verification, validation, and test (VV&amp;T), and fault isolation </li>
<li>Work independently or lead small teams to generate and deliver study plans, VV&amp;T plans, and reports Present final reports, and presentations to customers</li>
</ul>
 
Required
<ul>
<li>BS or MS in Imagery Science, Mathematics, Engineering, or related STEM program with 5 years or relevant experience</li>
<li>Experience in spectral and hyper-spectral (HSI) data with 5 years of experience</li>
<li>Demonstrated ability to perform technical analysis of EO remote sensing data; image processing and digital signal processing experience; image chain analysis </li>
</ul>
 
Desired 
<ul>
<li>MS in Image Science, Mathematics, Engineering, or related STEM program </li>
<li>Experience in spectral and hyper-spectral (HSI) data is particularly desirable</li>
<li>Experience developing/modifying engineering code in at least one of Python, MATLAB, ENVI/IDL or similar to solve hard problems and create processes for repeatable results</li>
</ul>
 
What You'll Love About Apogee
<ul>
<li>Challenging work in support of US Intel Community - a Mission that Matters!</li>
<li>Access to our cool ApogeePlex facility </li>
<li>Support for new ideas &amp; encouragement to take risks</li>
<li>Professional Development Assistance (PDA)</li>
<li>Wicked smart and collaborative coworkers</li>
<li>Regular interfacing with company leadership</li>
<li>401(k) with huge company match</li>
<li>Paid Time Off / Fixed &amp; Floating Holidays</li>
<li>Medical, Dental, Vision</li>
<li>Health Savings Accounts / Dependent Care Flexible Spending Accounts</li>
<li>Life Insurance,Disability (Short and Long Term),Accidental Death and Dismemberment (AD&amp;D) </li>
</ul>
 
Apogee's Mission
<ul>
<li>Be thePROVIDERof choice for government &amp; commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation</li>
<li>Be theEMPLOYERof choice committed to an open &amp; transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth</li>
<li>Be the preferred SOURCEfor cutting-edge Analytic Products, Systems &amp; Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success</li>
</ul>
 
 Apogee is an EEO Employer

Image Scientist - Hyperspectral (HSI) Experience

<h3>Job Description</h3>
Job Description
Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol in the UK and opened an office in Washington DC in 2024, led by Steve Flammia. In 2025 we completed a $34m Series B funding round co-led by Plural, existing investor Playground Global, and Novo Holdings’ Quantum Fund in its first direct quantum software investment.
Phasecraft’s unprecedented access to today’s best quantum computers – through partnerships with Google, IBM, Quantinuum and QuEra – provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialization of high-value breakthroughs.
One of the key applications of Phasecraft’s quantum algorithms is to modelling materials and molecular systems, where we have demonstrated significant reductions in cost compared with the state-of-the-art.
On the back of these breakthroughs, we are now looking to hire a Senior Quantum Computational Materials Scientist to join our team in Washington DC. In this newly created role, you will play a key role in guiding and coordinating the materials team’s research efforts in the US, working closely with the Head of the US office and the materials team lead at Phasecraft. 
The ideal candidate will have extensive experience of research in the theory and application of computational techniques to materials or chemistry simulation, with an interest in applying algorithms for quantum computers to computational materials science. Their work will contribute to Phasecraft’s goal of developing quantum algorithms for near-term quantum computers, and may encompass topics such as algorithm design, optimization and implementation, resource analysis, classical and quantum simulation benchmarking. They will have the opportunity to direct and grow a portfolio of research activity across the breadth of Phasecraft’s interests.
Job Description
<ul>
<li>Take the role of a senior member of a talented team of scientists undertaking theoretical and applied research on near-term quantum computing algorithms, applications and enabling theoretical technologies.</li>
<li>Take initiative within the team to deliver publications, presentations, patent applications and similar resulting from the research.</li>
<li>Be a focal point for Phasecraft's interaction with stakeholders on US based collaborations applying quantum computing to materials simulation and discovery.</li>
<li>Contribute to new research directions ensuring alignment with the company’s overall science strategy.</li>
<li>Work within the team to promote an environment of collaboration across a small international team made up of full-time staff and affiliated PhD students.</li>
<li>Other activities as required to support the growth and success of Phasecraft.</li>
</ul>
Requirements
Essential Criteria
<ul>
<li>Expertise in applied and theoretical computational materials science or closely related field.</li>
<li>PhD in (ab initio) electronic structure methods, theory and computation, Chemistry, Physics, Materials Science, or a closely related field.</li>
<li>Proven track record of working independently on research projects.</li>
</ul>
<ul>
<li>Deep expertise and an excellent publication track-record in relevant discipline.</li>
<li>Excellent written and verbal communication skills and the ability to disseminate research results to technical and non-technical audiences.</li>
<li>A deep understanding of the requirements of different funding sources, and the ability to lead efforts and independently write effective grant applications.</li>
<li>Flexibility to work across different aspects of quantum algorithms, and to work on other tasks required to support the growth and success of the company.</li>
<li>An interest in near-term quantum computing.</li>
</ul>
 Desirable criteria
<ul>
<li>Experience in materials discovery and use of machine learning methods to enhance workflows.</li>
<li>Experience in DFT++ approaches, such as DMFT, DMET, GW etc.</li>
<li>Experience in high throughput materials screening applications. </li>
<li>Demonstrable experience in leading multiple complex and collaborative scientific research projects.</li>
<li>Experience in developing and growing a team of scientists, promoting an appropriate culture for continuous improvement and knowledge exchange.</li>
<li>Enthusiasm for learning and novel research.</li>
</ul>
Benefits
<ul>
<li>The annual compensation range for this role is $120,000 - $175,000, depending on experience.</li>
<li>Health, Vision, Dental, Life Insurance.</li>
<li>401(k) Plan with company matching.</li>
<li>Unlimited annual leave.</li>
</ul>

Senior Quantum Computational Materials Scientist, US

<h3>Job Description</h3>
Job DescriptionCompany Description 
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;<a href="http://www.abbvie.com" target="_blank">www.abbvie.com</a>. Follow @abbvie on&nbsp;X,&nbsp;Facebook,&nbsp;Instagram,&nbsp;YouTube,&nbsp;LinkedIn&nbsp;and&nbsp;Tik Tok.
Job Description 
AbbVie's Statistical Innovation team provide strategic and quantitative consulting/simulations to solve complex and non-standard problems in clinical development​.&nbsp;The Director, Statistical Innovation is responsible for providing scientific and statistical leadership to lead or collaborate with other functions on important clinical development and Data Statistical Sciences (DSS) initiatives and projects, especially those using advanced statistical methodology, advanced predictive modeling and Machine Learning (ML).
Role Responsibilities:
<ul>
<li>Lead and drive modeling and simulation capabilities in AbbVie statistical innovation group</li>
<li>Leverage state of art modeling and simulation techniques to propose, evaluate and optimize clinical trial designs in terms of time, cost and probability of success.</li>
<li>Collaborate with study teams and other functions to proactively evaluate population feasibility, IC/EC impact, patient diversity and other operational insights at the design stage</li>
<li>Collaborate with study teams and other functions to proactively evaluate state-of-art scientific statistical designs using modeling and simulation</li>
<li>Collaborate with Clinical Pharmacology on QSP and MIDD related activities</li>
<li>Build and maintain external reputation and influences in the industry with presentations, invited talks and peer-reviewed publications</li>
</ul>
Significant Work Activities:&nbsp;Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hr day) is required
Qualifications 
As a qualified candidate you hold a Ph. D in statistics, biostatistics or related fields with at least 10 years of related work experience.
You also have the following experience and skill:
<ul>
<li>Excellent oral and written communication skills</li>
<li>Excellent leadership skills</li>
<li>Proven ability to collaborate and consult with discipline experts and leaders within and across functions</li>
<li>Passionate about modeling and simulation, innovation, always thinks out of the box and is never satisfied with the status quo</li>
<li>Strong publication records highly desired</li>
<li>Demonstrated expertise and experience in advanced statistical modeling and simulation</li>
<li>Proficiency in development, implementation and rollout of statistical tools and techniques using R, R-shiny, Python, Julia etc. to operationalize key innovative methodologies</li>
<li>This role will work a hybrid work schedule from our North Chicago, IL, Florham Park, NJ or Irvine, CA offices.</li>
</ul>
Key Stakeholders&nbsp;
Clinical development experts Statistical programmers Data science experts Global Medical Affairs experts Regulatory experts
 Additional Information 
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​
<ul>
<li>
The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this role at the time&nbsp;of this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on many factors including geographic location, and&nbsp;we&nbsp;may ultimately&nbsp;pay more or less than the posted range. This range may be modified in the&nbsp;future. ​
</li>
<li>
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​
</li>
<li>
This job is eligible to participate in our short-term incentive&nbsp;programs.&nbsp;​
</li>
<li>
This job is eligible to participate in our long-term incentive&nbsp;programs​
</li>
</ul>
Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount is earned, vested, and&nbsp;determinable.&nbsp;The amount and availability of any bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;that are allocable to a particular employee remains in the Company's sole and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be modified at the Company’s sole and absolute discretion, consistent with&nbsp;applicable law.&nbsp;
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.&nbsp;
US &amp; Puerto Rico only - to learn more, visit&nbsp;<a href="https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html" target="_blank">https://www.abbvie.com/join-us/equal-employment-opportunity-employer.ht…</a>
US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
<a href="https://www.abbvie.com/join-us/reasonable-accommodations.html" target="_blank">https://www.abbvie.com/join-us/reasonable-accommodations.html</a>

Director, Statistics - Statistical Innovation (Office-based)

<h3>Job Description</h3>
Job DescriptionOur mission at Asimov is to advance humanity's ability to design living systems, enabling biotechnologies with outsized benefit to society. We're developing a mammalian synthetic biology platform––from cells to software––to enable the design and manufacture of next-generation therapeutics. We are searching for a Senior Computational Biologist with multi-disciplinary skills in computational biology, machine learning, and applied mathematics to join our team. This role bridges the gap between sequence-level design and systems-level dynamics, focusing on the development and application of sophisticated models that integrate diverse biological data. The ideal candidate will be adept at building data-driven, mechanistic, and hybrid models to decipher complex biological processes and guide the engineering of therapeutic molecules and systems. You will leverage everything from high-dimensional omics datasets to time-course bioprocess data to create predictive models that drive genetic design and optimize bioprocess development. Join our team to contribute at the cutting-edge of innovation in biology and computational science, shaping the future of therapeutic innovation. About the Role:
<ul>
<li>Design and implement sophisticated models—including data-driven (ML/AI), mechanistic (e.g., ODE-based), and hybrid approaches—to predict and optimize the performance of biologics and vector manufacturing processes.</li>
<li>Develop models that predict functional outcomes such as transgene expressibility, protein stability, and product quality attributes from nucleic acid and amino acid sequence features</li>
<li>Develop new models to predict developability attributes such as expressibility, secretability, aggregation, and stability of biologics, from sequence.</li>
<li>Create multi-scale models of cellular behavior, integrating omics data (RNA-seq, proteomics, etc.) to simulate gene expression, protein secretion dynamics, metabolism, and cell phenotype.</li>
<li>Work in close collaboration with bench scientists to guide rational experimental design, using techniques like Bayesian Optimization to ensure that data generation is maximally informative for modeling and yields actionable insights.</li>
<li>Contribute to our long-term computational strategy by exploring novel algorithms, modeling frameworks, and data integration techniques to solve critical challenges in synthetic biology and therapeutic development.</li>
</ul>
About You:
<ul>
<li>You have a Ph.D. in Bioengineering, Computational Biology, Computer Science, Applied Mathematics, or a related quantitative field.</li>
<li>You are proficient in sequence-based analysis and have hands-on experience integrating large-scale omics datasets (e.g., NGS, RNA-seq, proteomics) to inform model development and validation.</li>
<li>You are an expert in applying machine learning and advanced mathematical techniques (e.g., dynamical systems, differential equations, stochastic modeling) to biological systems, with at least 3 years of experience in a pharmaceutical or biotechnology industry setting.</li>
<li>You have a strong background in modeling dynamic biological systems, such as gene regulatory networks, metabolic pathways, or cell population dynamics.</li>
<li>You are a skilled programmer, fluent in Python and associated scientific computing/ML libraries.</li>
<li>You excel at communicating complex scientific and mathematical concepts effectively to colleagues with diverse backgrounds and expertise.</li>
<li>You are a collaborative, impact-driven scientist, passionate about working in a fast-paced, research-focused environment to engineer biology.</li>
</ul>
The base salary hiring range for this position is expected to be $150,000 to $175,000 annually. The base salary offered may vary based on factors such as the final candidate’s relevant knowledge, skills and experience for the role. Our total rewards package also includes the opportunity for stock options, eligibility for our 401(k) plan, annual career development stipend, medical, dental, vision, life and disability insurances. Our robust time-off policy includes flexible time-off, unlimited sick time, and a career development stipend. We will talk about compensation in our first conversation and be transparent throughout the process about which level we think is the best match for you in our organizationWe're fueled by a vision to transform biological engineering into a fully-fledged engineering discipline. Should you join our team, you will grow with a constantly evolving organization and push the frontiers of synthetic biology. Company culture is key to Asimov, and ours is a culture of recombination; we believe that our mission can only be achieved by bringing together a diverse team with a mixture of backgrounds and perspectives.

Senior Computational Biologist

<h3>Job Description</h3>
Job Description
*US Citizenship Required
*Position is Subject to Contract Award
 
POSITION DESCRIPTION:
The Section 7 Consultation Biologist will support NOAA's Southeast Regional Office by reviewing Endangered Species Act (ESA) Section 7 consultation requests for completeness, drafting Requests for Additional Information (RAIs), and preparing Letters of Concurrence (LOCs) and Biological Opinions. The individual will correspond with federal action agencies, track and manage consultation activities, and ensure compliance with established procedures and deadlines. This role requires applying biological expertise to assess potential impacts of coastal and marine activities on ESA-listed species and critical habitats, maintaining meticulous documentation, and adhering to NOAA guidance, policies, and security protocols.
 
REQUIREMENTS:
<ul>
<li>Bachelor's degree in environmental science or related field (ex. Biology, ecology, marine biology, etc)</li>
<li>Critical thinking and ability to assess potential impacts to ESA resources associated with coastal and marine activities</li>
<li>Knowledge and experience with section 7 consultations requirements of the ESA</li>
<li>Strong understanding of the coastal and marine ecology of the Gulf of Mexico, South Atlantic, and US Caribbean</li>
<li>Proficiency in Microsoft Office, Gmail, Google docs and Endnote</li>
<li>Strong organizational skills with ability to work independently and comply with project deadlines</li>
<li>Strong communication skills to effectively work with others, including diverse federal agencies</li>
<li>Strong professional writing skills with the ability to simplify biological and regulatory concepts</li>
</ul>
 
RESPONSIBILITIES:
<ul>
<li>Participate in meetings to review Section 7 resources, discuss project objectives with team leads</li>
<li>Maintain constant communication with Federal Action Agencies regarding Section 7 consultations</li>
<li>Review Section 7 consultation requests</li>
<li>Draft Request for Additional Information (RAI) and review federal agencies response to these RAIs</li>
<li>Maintain and update the Activity Tracker spreadsheet on a daily basis</li>
<li>Assist with drafting and completing LOCs (Letter of Concurrence) and Biological Opinions</li>
<li>Address any comments on draft documents</li>
<li>Submit monthly progress reports to team leads</li>
</ul>

ESA Section 7 Consultation Biologist

<h3>Job Description</h3>
Job DescriptionCompany Description 
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at&nbsp;<a href="http://www.abbvie.com" target="_blank">www.abbvie.com</a>. Follow @abbvie on&nbsp;X,&nbsp;Facebook,&nbsp;Instagram,&nbsp;YouTube,&nbsp;LinkedIn&nbsp;and&nbsp;Tik Tok.
Job Description 
**This is a hybrid on-site position. Candidates must be local to Lake County, IL or Florham Park, NJ
Medical Affairs &amp; Health Technology Assessment (MA&amp;HTA) Statistics is responsible for partnering with AbbVie Medical Affairs &amp; Health Impact (MHI), international Market Access and Pricing (iMAP), and other corporate functions to provide expertise in biostatistics and mathematics. The partnership is realized in the context of a cross-functional, product-oriented effort to provide statistical expertise and consultation for all key MHI or HTA business activities, including but are not limited to Medical Affairs research proposal reviews, strategic planning and input on TA strategies, real world evidence (RWE) study designs, real world database (RWD) research, scientific presentations and publications for all therapeutic areas, vendor oversight of study executions, RWE methodology research, and evidence evaluations and generations for HTA submissions.
Major Job Responsibilities
<ul>
<li>Provide scientific and statistical expertise through own efforts and those of her/his staff (if appropriate) for drug development and life-cycle management strategies for assigned projects; for the design, analysis, and reporting of clinical and other scientific research programs; for generating scientific evidence to support medical affairs strategies; and for interacting with regulatory agencies, medical community, and key opinion leaders (KOLs) regarding the results of these activities.</li>
<li>Direct the development of scientific protocols, ensuring they are scientifically sound, aligned with the product strategy, and meet scientific and/or applicable regulatory needs. Ensure statistical methodology is appropriate and sound, consistent with the objective(s) of the scientific investigations</li>
<li>Demonstrate an excellent understanding of statistical concepts and methodologies. Take a leadership role in introducing new/novel statistical methodological approaches into analysis plans which improve the efficiency and validity of study results. Be able to explain statistical concepts to non-statisticians.</li>
<li>Review identified or anticipated technical or data related issues arising in the design, conduct or analysis of clinical trials or other scientific research. Independently select, evaluate and implement alternative analysis strategies or other recommendations to address these issues. Evaluate appropriateness of available software for planned analyses and assess needs for potential program development of novel statistical methodology.</li>
<li>Maintain technical skills and increase own knowledge of new statistical methodology or areas of application through scientific literature and attendance at professional meetings. Present own statistical research or review of the statistical literature at meetings and seminars. Demonstrates a high degree of responsibility in maintaining Statistics department standards, GxP compliance, and best operating practices.</li>
<li>In collaboration with MHI, Clinical Statistics, Data Sciences, Statistical Programming and other stakeholders to evaluate existing databases, both clinical studies and real-world databases, conduct feasibility assessment to identify fit-for-purpose data sources for research questions, and develop detailed and actionable analysis plans for evidence generation to deliver high quality, patient-centric evidence and insights to drive decisions.</li>
<li>Evaluate alternatives to traditional randomized clinical trials that make use of real-world databases, e.g. electronic health records, insurance claims databases, and/or registries.</li>
<li>Play a key role in the cross-functional team and ensure that study results and conclusions are scientifically sound, clearly presented, and consistent with the statistical analyses provided. Ensure timely and quality statistical deliverables. Assist other MA&amp;HTA Statistics colleagues or represent MA&amp;HTA Statistics in addressing questions at management and/or product review meetings. Provide in-depth scientific/statistical review for scientific reports and publications. Ensure the accuracy of the statistical component of scientific reports and/or publications with high quality.</li>
<li>Support/Lead HTA submission for optimal reimbursement and product life-cycle management strategy planning and implementation for assigned projects/indications. Provide statistical leadership for design, analysis and reporting for clinical or other scientific research programs. Independently develop protocols and statistical analysis plans to fulfil the evidence gaps.</li>
</ul>
Qualifications 
<ul>
<li>MS (with at least 10 years of experience) or PhD (with at least 6 years of experience) in Statistics, Biostatistics, or a highly related field.</li>
<li>High degree of technical competence and sound communication skills, both oral and written.</li>
<li>Competence in experimental and RWE study design, descriptive statistics, inferential statistics, statistical modeling, and statistical programming. Knowledge of methodologies for confounding control and bias minimization in observational studies highly desired.</li>
<li>Able to identify data or analytical issues, and provide solutions by either applying own skills and knowledge or seeking help from others</li>
<li>Able to build strong relationships with peers and cross-functional partners to achieve higher performance. Highly motivated to drive innovation by raising the bar and challenging the status quo</li>
<li>Willing to learn new knowledge and technology, open-minded and adapting for improvement, enthusiastic about innovation and a self-starter to make possibilities real.</li>
<li>Strong leadership skills and experience in managing a programming group. Experience in working/managing cross-cultural or oversea teams.</li>
<li>Pharmaceutical or related industry experience required, including experience and understanding of drug development and life-cycle management in the regulated environment</li>
<li>Learn fast, grasp the 'essence' and can change the course quickly where indicated</li>
</ul>
 Additional Information 
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or&nbsp;local law:&nbsp;​
<ul>
<li>
The compensation range described below is the range of possible base pay compensation that the Company&nbsp;believes in&nbsp;good faith it will pay for this role at the time&nbsp;of this posting based on the job grade for this position.&nbsp;Individual&nbsp;compensation paid within this range will depend on many factors including geographic location, and&nbsp;we&nbsp;may ultimately&nbsp;pay more or less than the posted range. This range may be modified in the&nbsp;future. ​
</li>
<li>
We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),&nbsp;medical/dental/vision&nbsp;insurance and 401(k) to eligible&nbsp;employees.​
</li>
<li>
This job is eligible to participate in our short-term incentive&nbsp;programs.&nbsp;​
</li>
<li>
This job is eligible to participate in our long-term incentive&nbsp;programs​
</li>
</ul>
Note: No amount of pay&nbsp;is considered to be&nbsp;wages or compensation until such amount is earned, vested, and&nbsp;determinable.&nbsp;The amount and availability of any bonus,&nbsp;commission, incentive, benefits, or any other form of&nbsp;compensation and benefits&nbsp;that are allocable to a particular employee remains in the Company's sole and&nbsp;absolute&nbsp;discretion unless and until paid and&nbsp;may be modified at the Company’s sole and absolute discretion, consistent with&nbsp;applicable law.&nbsp;
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.&nbsp;
US &amp; Puerto Rico only - to learn more, visit&nbsp;<a href="https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html" target="_blank">https://www.abbvie.com/join-us/equal-employment-opportunity-employer.ht…</a>
US &amp; Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
<a href="https://www.abbvie.com/join-us/reasonable-accommodations.html" target="_blank">https://www.abbvie.com/join-us/reasonable-accommodations.html</a>

Associate Director, Statistics (Hybrid)

<h3>Job Description</h3>
Job Description
We’re excited that you’re interested in joining our team. This is the place where you can submit your resume and answer a few short questions so we can get to know you better. By applying here, we’ll be able to keep your information on file and match you with future opportunities that align with your skills and interests. Most of our roles are based in the DMV area (DC, Maryland, Virginia), so if you’re local or open to working in this region, we’d love to learn more about you.
Take a few minutes to complete the application process — we look forward to learning more about you and keeping in touch about upcoming roles at KeenLogic!
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Qvad5I22zE

Senior IT Opportunities

<h3>Job Description</h3>
Job Description
Team Axiom is seeking a Chief Scientist - Earth Systems Modeling to serve as the lead scientific advisor for EPIC, responsible for the technical integrity, advancement, and innovation of all earth systems modeling activities. Champions research-to-operations (R2O2R) acceleration, guides modeling strategy evolution, and connects EPIC with the NWP and user/research communities. Supports cross-cutting innovation, governance, and documentation per PWS technical objectives.
NOAA created the Earth Prediction Innovation Center (EPIC) to improve operational weather and climate forecast systems through scientific and technical innovation via model co-development with the Weather Enterprise - government, industry and academia. EPIC will facilitate improved and reliable forecasts produced by numerical Earth system models that will reduce the devastating impacts of hazardous weather.
The EPIC Program and Contract will deliver world-class numerical weather prediction systems supporting NOAA's mission to save lives, protect property, and enhance the economy. EPIC is a facilitating organization that leverages resources to better coordinate the weather research and modeling community.
EPIC is a combination of (1) roadmap for research and model priorities, (2) development environment, (3) code management, (4) cloud-ready code, (5) observational data and tools, (6) community support, and (7) community engagement.
Key Responsibilities:
<ul>
<li>Set EPIC's scientific and technical agenda in coordination with stakeholders.</li>
<li>Oversee modeling methodology, innovation planning, research engagement, and technical deliverable review.</li>
<li>Lead integration of advanced earth system and ML techniques into operational workflows.</li>
<li>Represent EPIC to external scientific bodies and at stakeholder events.</li>
<li>Oversee technical publication and knowledge transfer activities.</li>
</ul>
Essential Qualifications:
<ul>
<li>PhD in atmospheric, earth system, or computational sciences.</li>
<li>Renowned track record in NWP or large-scale modeling program leadership.</li>
<li>Evidence of successful R2O2R and operational impact.</li>
</ul>
 Job Posted by ApplicantPro

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