computational scientist

Genentech

<div><div><div>THE POSITION</div><p>
We advance science so that we all have more time with the people we love.</p><p></p><p>
The Department of Cell and Tissue Genomics (CTG) is focused on developing and applying state of the art genomics technologies (e.g. single cell omics, high-content imaging, perturbations, etc) to solve key challenges in disease biology, target discovery, and translational medicine. We are seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data, with a particular focus on high-content imaging, to decipher complex cellular circuits. The candidate will collaborate closely with members of the department to extract biological insights from diverse high dimensional data sets and support the development of new technologies, leveraging existing computational workflows and developing novel ones.</p><p></p><p><b>
The Opportunity:</b></p><p></p><p><b>
As an integral member of our dynamic team, you will be:</b></p><p></p><ul><li><p>
Analyzing high-content imaging data from novel technologies including optical pooled screens, spatial transcriptomics, and high-content perturbation screens, with the goal of extracting mechanistic insights into gene function and cellular phenotypes.</p></li><li><p>
Developing methods to analyze and interpret new types of perturbation data.</p></li><li><p>
Applying statistics and machine learning to investigate data and extract biological insights.</p></li><li><p>
Collaborating across diverse, cross-functional teams including experimentalists in CTG and the therapeutic areas and colleagues in the Computational Sciences Center of Excellence and the AI Biology &amp; Translation departments</p></li></ul><p></p><p><b>
Who You Are:</b></p><p></p><ul><li><p>
PhD in Computational Biology, Bioinformatics, Computer Science, or a related quantitative field. Alternatively, a PhD in molecular biology, immunology, bioengineering, etc. combined with a very strong record of data analysis, supported by publication in this area. Postdoctoral training is a plus.</p></li><li><p>
Strong publication record of biological discovery and/or methods development.</p></li><li><p>
Deep expertise in image analysis, including image processing, feature extraction, and morphological profiling. Familiarity with modern deep learning approaches (e.g., embeddings, foundation models) is a plus.</p></li><li><p>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</p></li><li><p>
Fluent in Python and/or R.</p></li><li><p>
Excellent communication and presentation skills.</p></li><li><p>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</p></li><li><p>
Passionate about applying your analytical skills to understand health and disease.</p></li></ul><p></p><p><b>
Preferred Experience:</b></p><p></p><ul><li><p>
Experience with in situ data (FISH or ISS barcode calling).</p></li><li><p>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</p></li><li><p>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</p></li><li><p>
Experience with applying machine learning to high throughput datasets is a plus.</p></li></ul><p></p><p>
Relocation benefits are available for this posting.</p><p></p><p>
The expected salary range for this position based on the primary location of California for Senior Scientist is $124,300- $230,900 and Principal Scientist is $143,200-$265,900. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.</p><p></p><p>
Benefits</p><p></p><p>
Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.</p><p></p><p>
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.</p></div><p></p>
<div><div>JOB FACTS
</div><div><div><ul><div><b>Job Sub Category</b><b>
</b><p>Research Informatics
</p></div><div><b>Schedule</b><b>
</b><p>Full time
</p></div><div><b>Job Type</b><b>
</b><p>Regular
</p></div><div><b>Posted Date</b><b>
</b><p>Apr 10th 2026
</p></div><div><b>Job ID</b><b>
</b><p>202604-108731</p></div></ul></div></div></div></div><p></p>

Computational Scientist 3 - Cell & Tissue Genomics

GAP Solutions, Inc.

<div>
 <p>
  <strong>
   Position Objective:
  </strong>
  The Digital Health And Behavior Data Scientist will provide advanced computational and data science expertise to support digital health and behavioral research within the NIH Intramural Research Program supporting the National Institute on Drug Abuse (NIDA).
 </p>
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  <br/>
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  This position is responsible for leading multimodal data integration, machine learning and simulation modeling, and supporting human subjects research activities to advance understanding of substance use, treatment outcomes, and recovery. The ideal candidate will demonstrate a strong publication record, including peer-reviewed scientific papers as first author, senior author, or contributing middle author, reflecting substantive contributions to computational modeling, machine learning, AI-driven research, or digital health studies.
 </p>
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 <p>
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 <p>
  <strong>
   Duties and Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design and conduct experiments and studies requiring the application of a broad professional knowledge of scientific theories and principles.
  </li>
  <li>
   Advance the science through proposing and investigating new target projects for initiation based on novelty and relevance to human health.
  </li>
  <li>
   Develop and implement computational, statistical, and simulation-based experimental designs to evaluate behavioral and digital health research hypotheses
   <strong>
    1
   </strong>
  </li>
  <li>
   Work with staff on the interpretation of experiments performed by research scientists.
  </li>
  <li>
   Independently direct and conduct special research projects that have a high priority for the laboratory with special emphasis in the development of novel research treatments.
  </li>
  <li>
   Work with postdoc/biological scientists to perform statistical analysis for research projects.
  </li>
  <li>
   Review scientific data to determine if a research program can be developed around an idea or data package.
   <strong>
    5
   </strong>
  </li>
  <li>
   Provide technical guidance to laboratory staff on computational modeling, machine learning methods, and data analysis strategies.
  </li>
  <li>
   Operate, troubleshoot and train others to use laboratory equipment and software.
  </li>
  <li>
   Provide advice and assistance to users in designing experiments, using instrumentation, data acquisition and analysis, and preparing figures for publication.
  </li>
  <li>
   Participate in the laboratory&rsquo;s review of future proposals for resource allocations.
  </li>
  <li>
   Write technical reports and prepare manuscripts.
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    3
   </strong>
  </li>
  <li>
   Oversee project data quality; analyze and interpret project data.
   <strong>
    2
   </strong>
  </li>
  <li>
   Conduct bioinformatics data analyses and statistical analyses; prepare data for abstracts and manuscripts.
  </li>
  <li>
   Maintain a detailed and up-to-date electronic laboratory notebook detailing all experiments.
  </li>
  <li>
   Collaborate with investigators to translate research questions into quantitative modeling and data-driven study designs.
  </li>
  <li>
   Develop and share analytical tools, scripts, and reproducible workflows to support laboratory research activities.
   <strong>
    4
   </strong>
  </li>
  <li>
   Meet with lab members to present updates
  </li>
  <li>
   Documented Data Pipelines: Fully documented and reproducible data ingestion, preprocessing, quality control, and feature extraction pipelines for all assigned multimodal datasets.
  </li>
  <li>
   Curated Analytical Datasets: Cleaned, integrated, and analysis-ready datasets with accompanying data dictionaries and processing documentation.
  </li>
  <li>
   Validated Models: Implemented and evaluated machine learning, NLP, and/or generative AI models with documented methodology, performance metrics, validation results, and interpretation of findings.
  </li>
  <li>
   Simulation Models: Developed computational simulation models (e.g., agent-based, predictive, or generative agent models) with written documentation of assumptions, parameterization, calibration, and sensitivity analyses.
  </li>
  <li>
   Reproducible Code Repositories: Version-controlled, well-documented code repositories (with clear README files) sufficient for replication by other researchers.
  </li>
  <li>
   Technical Documentation: Written model documentation describing design decisions, input features, target definitions, modeling tradeoffs, and limitations.
  </li>
  <li>
   Progress Summaries: Written summaries of completed analyses, model performance, dataset updates, and next steps.
  </li>
  <li>
   Manuscript Drafts and Figures: Draft and revised scientific manuscripts, methods and results sections, tables, and figures
  </li>
  <li>
   suitable for peer-reviewed publication.
  </li>
  <li>
   Presentations: Slide decks and presentation materials for internal reviews, lab meetings, and scientific conferences.
  </li>
  <li>
   Subjects Research Support Documentation: Completed consent documentation support, data collection tracking logs, and documentation of participant-facing digital data procedures.
  </li>
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  <strong>
   Basic Qualifications:
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  <li>
   Master&rsquo;s Degree in Computer Science, Information Sciences, Statistics and Decision Science, Social Psychology, or similar.
  </li>
  <li>
   Good Clinical Practice (GCP)
  </li>
  <li>
   Experience with Machine Learning Generative AI, Natural Language Processing / LLMs, and Computational Simulation Modeling.
  </li>
  <li>
   Experience with Multimodal Time-Series Data Analysis, Reproducible Data Science (Python/R) - Human Subjects, Research Support, and Manuscript writing.
  </li>
  <li>
   Experience with Ordering Supplies, Data Presentation, Data Analysis, and SOP writing.
  </li>
  <li>
   Skilled in SQL, Pytorch, TensorFlow, Hugging Face, Pandas, Python, MATLAB, Linux, R and Open AI.
  </li>
  <li>
   Skilled in API Integration, AWS, Azure, GitHub, Jupyter Notebook, RedCap, Mobile Sensing Platforms.
  </li>
 </ul>
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 </p>
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  <br/>
 </p>
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  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Ability to multi-task and pay close attention to detail.
  </li>
  <li>
   Excellent analytical, organizational and time management skills.
  </li>
  <li>
   Strong communication skills, both oral and written.
  </li>
 </ul>
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  <br/>
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 <p>
  *This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.
 </p>
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 </p>
 <p>
  To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 </p>
 <p>
 </p>
 <p>
  GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job us at
  <u>
   recruiting@gapsi.com
  </u>
  . You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.
 </p>
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  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.
 </p>
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  This position is contingent upon contract award.
 </p>
</div>


Health Data Scientist

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
We are seeking a Scientific Computing Liaison to join a Scientific Technologies team supporting high-performance computing (HPC) and scientific research. This role serves as a critical bridge between researchers and HPC engineering staff, combining scientific domain knowledge with technical expertise to enable effective use of computational resources.</p><p></p><p>
The ideal candidate will work closely with investigators to understand their scientific workflows, guide them in leveraging HPC resources, and collaborate with engineering teams to optimize performance and usability of the HPC environments.</p><p></p><p>
This role is hybrid with 2-3 days a week onsite in Rockville, MD. Travel will not be reimbursed.
</p><p></p><p>Responsibilities:
</p><ul><li>Serve as the primary liaison between scientific users and the HPC engineering team</li><li>
Engage with researchers to understand computational workflows, analysis pipelines, and scientific objectives</li><li>
Guide users in effectively leveraging HPC resources and adopting best practices</li><li>
Assist in troubleshooting scientific applications, pipelines, and data analysis workflows</li><li>
Translate scientific requirements into actionable input for HPC engineering improvements</li><li>
Identify opportunities to enhance user experience, documentation, and service offerings</li></ul><p></p><p>
WHAT YOU&rsquo;LL NEED TO SUCCEED:</p><p>
Required qualifications:</p><ul><li>
Bachelor&rsquo;s degree in bioinformatics, computational biology, data science, or a related scientific field</li><li>
5+ years of hands-on experience with bioinformatics, scientific data analysis workflows, and/or related fields</li><li>
Familiarity with a variety of scientific software tools and analytical techniques</li><li>
Working knowledge of Unix/Linux-based environments and HPC systems (e.g., job schedulers, distributed computing)</li><li>
Experience in a customer-facing or service-oriented role supporting scientific users</li><li>
Ability to translate between scientific and technical audiences</li><li>
Ability to obtain and maintain a Public Trust</li></ul><p></p><p>
Desired skills and abilities:</p><ul><li>
Masters degree preferred</li><li>
Exposure to genomics, Cryo-EM data, or other large-scale biological datasets</li><li>
Familiarity with scripting languages such as Python, Bash, or R</li><li>
Experience optimizing or troubleshooting computational workflows</li><li>
Strong communication and problem-solving skills with a user-focused mindset</li><li>
Ability to manage multiple priorities and work effectively across teams</li><li>
Collaborative approach with a focus on enabling scientific outcomes</li></ul><p></p><p>
#GDITFedHealthJobs</p>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
5 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $107,744 - $132,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Scientific Computing Liaison

Oak Ridge National Laboratory

<div><p>Requisition Id 15602</p><p></p><p><b><br>
Overview:</b></p><p>
The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in the area of Application-driven Composable Distributed Storage. The candidate will be able to make research contributions in understanding and efficient use of distributed data storage and I/O subsystems for High-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing.</p><p></p><p><br>
We are a leader in computational and computer science, with signature strengths in high-performance computing and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology Integration group within NCCS.</p><p></p><p><b><br>
Specific areas of research interest include:</b></p><ul><li>
Flexible, composable storage service architectures that expose useful data container abstractions and interfaces for applications to convey their requirements for I/O performance and data atomicity, consistency, durability, and retention.</li><li>
Intelligent and automated selection and composition of data and storage service capabilities and interconnection topologies that simplify the use of diverse distributed storage resources through advanced methods for distributed data placement, layout, tiering, and movement.</li></ul><p></p><p><b><br>
Major Duties and Responsibilities:</b></p><ul><li>
Collaborate with internal and external researchers on a variety of data and storage related research projects for use cases in HPC, scientific AI, and scientific edge computing.</li><li>
I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems.</li><li>
Design and evaluation of approaches for time-sensitive or data-intensive processing of data originating at scientific edge systems using large-scale HPC/AI computational and storage systems.</li><li>
Design and evaluation of ephemeral, user-configurable, and composable data and storage systems.</li><li>
Evaluation of cloud data storage and analysis solutions (e.g., key-value stores, object or document storage, graph analytics systems) deployed on HPC computational and storage systems.</li><li>
Co-authorship of peer-reviewed publications, technical reports, and presentations.</li><li>
Seek membership and service opportunities in professional, academic, and research organizations.</li></ul><p></p><p><b><br>
Basic Qualifications:</b></p><ul><li>
A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage research within past five years.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Ability to work independently to design and deploy methods at scale.</li><li>
Experience in HPC and associated software development for applications, middleware, and/or system software.</li><li>
Flexibility to adapt to diverse R&amp;D projects and tasks.</li><li>
Effective communicator in both verbal and written forms.</li><li>
Ability to collaborate with scientists, engineers, and sponsors.</li><li>
Interest in mentoring student internships.</li></ul><p></p><p><b><br>
Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.</b></p><p></p><p><b><br>
Security, Credentialing, and Eligibility Requirements:</b></p><ul><li>
This position requires the ability to obtain and maintain an HSPD-12 PIV badge.</li><li>
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.</li><li>
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.</li><li>
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.</li></ul><p></p><p><br>
For foreign national candidates:</p><ul><li>
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.</li><li>
Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.</li></ul><p></p><p><b><br>
About ORNL:</b></p><p>
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.</p><p></p><p><br>
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.</p><p></p><p><br>
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.</p><p></p><p><br>
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.</p><p></p><p><br>
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.</p><p></p><p><br>
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.</p><p></p><p><br>
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</p></div>

Postdoctoral Research Associate - Application-driven Composable Distributed Storage

<div><p>Requisition Id 15604</p><p></p><p><b><br>
Overview:</b></p><p>
The National Center for Computational Sciences (NCCS) at the Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral research associate in High-Performance Computing (HPC) system architecture and intelligent storage design. The candidate will contribute to research and development efforts in scalable storage and memory architectures, telemetry-driven system optimization, and application-driven performance analysis for HPC, scientific Artificial Intelligence (AI), and scientific edge computing.</p><p></p><p><br>
We are a leader in computational and computer science, with signature strengths in high-performance computing, system architecture, and data analytics with applications in a large variety of science domains. NCCS is home to some of the fastest supercomputers and storage systems in the world. This position is in the Technology Integration group within NCCS.</p><p></p><p><b><br>
Specific areas of research interest include:</b></p><ul><li>
Telemetry collection and analysis to inform system optimization, workload characterization, and predictive fault tolerance in HPC systems.</li><li>
Architectural exploration and performance modeling of high-bandwidth memory (HBM) and DDR memory systems in the context of data-intensive scientific computing.</li><li>
Redesign of storage systems to meet evolving demands in AI/ML and edge-to-HPC workflows, including support for data movement, retention policies, and user-defined storage behaviors.</li></ul><p></p><p><b><br>
Major Duties and Responsibilities:</b></p><ul><li>
Collaborate with internal and external researchers on a variety of data and storage-related research projects for use cases in HPC, scientific AI, and scientific edge computing.</li><li>
Conduct I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems.</li><li>
Collect, analyze, and leverage telemetry data from HPC systems to support data-driven design decisions and performance tuning.</li><li>
Explore trade-offs in DDR and HBM usage patterns, and propose architectural improvements for mixed-memory and bandwidth-intensive workloads.</li><li>
Design and evaluation of ephemeral, user-configurable, and composable data and storage systems.</li><li>
Design system-level approaches for time-sensitive or data-intensive processing of data originating at scientific edge systems using large-scale HPC/AI computational and storage systems.</li><li>
Coauthor peer-reviewed publications, technical reports, and presentations.</li><li>
Seek membership and service opportunities in professional, academic, and research organizations.</li></ul><p></p><p><b><br>
Basic Qualifications:</b></p><ul><li>
A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage research within past five years.</li></ul><p></p><p><b><br>
Preferred Qualifications:</b></p><ul><li>
Ability to work independently to design and deploy methods at scale.</li><li>
Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM), and system-level telemetry tools.</li><li>
Experience in HPC and associated software development for applications, middleware, and/or system software.</li><li>
Flexibility to adapt to diverse R&amp;D projects and tasks.</li><li>
Effective communicator in both verbal and written forms.</li><li>
Ability to collaborate with scientists, engineers, and sponsors.</li><li>
Interest in mentoring student internships.</li></ul><p></p><p><b><br>
Applicants cannot have received their PhD more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.</b></p><p></p><p><b><br>
Security, Credentialing, and Eligibility Requirements:</b></p><ul><li>
This position requires the ability to obtain and maintain an HSPD-12 PIV badge.</li><li>
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required.</li><li>
Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.</li><li>
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.</li></ul><p></p><p><br>
For foreign national candidates:</p><ul><li>
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment.</li><li>
Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment.</li></ul><p></p><p><b><br>
About ORNL:</b></p><p>
As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation&rsquo;s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.</p><p></p><p><br>
ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The laboratory provides a range of employee benefits, including medical and retirement plans and flexible work hours, to support the well-being of you and your family. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also available for added convenience.</p><p></p><p><br>
Other benefits include the following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.</p><p></p><p><br>
If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov.</p><p></p><p><br>
This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.</p><p></p><p><br>
We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.</p><p></p><p><br>
ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply. UT-Battelle is an E-Verify employer.</p></div>

Postdoctoral Research Associate - HPC System Architecture and Intelligent Storage Design

QRC Group, Inc

<div><b>Company Description</b><p><b><i><br>
QRC Group, LLC</i></b><i> is a firm dedicated to offer services to the Pharmaceutical, Medical Devices and Chemical Industries in the validation and regulatory fields.</i></p><p><i>
Log on now to our website http://www.</i><b><i>qrcgroup.com</i></b><i>/ to learn more about our services and solutions!</i></p><b><br>
Job Description</b><p><b><br>
Process Development Scientist </b>with relevant work experience in data analysis or related field (eg as a statistician, data scientist, computational biologist). Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specifications, processing, analysis, ongoing deliverables, and presentations. Experience with statistical software (e.g. R, MATLAB, SAS, Jump, Minitab) and database languages (e.g. SQL). Experience with statistical data analysis such as linear models, multivariate analysis, and stochastic models. Experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Demonstrated skills in selecting the right statistical tools given a data analysis problem. Data system knowledge &ndash; OSIsoft PI / Spotfire/ OVDAS.</p><b><br>
Qualifications</b><br>
<ul><li>
Doctorate or Master + 2 years of Scientific experience or<br>
Bachelors + 4 years of Scientific experience</li><li>
Bilingual (Spanish/English)(Write/Speak)</li><li>
Data Analysis</li></ul><br>
<b>
Additional Information</b><p><br>
All your information will be kept confidential according to EEO guidelines.</p></div>

Process Development Scientist

University of Missouri

<div><div><div><h2 class="jobSectionHeader"><b>Hiring Department</b></h2><div><br>
<div><div>
</div><p>Life Sciences Center</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Description</b></h2><div><br>
<div><div>
</div><p>The Wan Influenza Systems Biology Lab seeks applications for a Senior Scientist in Computational Biology. The lab is affiliated with the Departments of Molecular Microbiology and Immunology (School of Medicine), Electrical Engineering and Computer Science (College of Engineering), and Veterinary Pathobiology (College of Veterinary Medicine), and is part of NextGen Center for Influenza and Emerging Infectious Diseases (CIEID) and Bond Life Sciences Center (LSC).</p><p>
Our research integrates clinical, experimental, computational, and translational approaches to study influenza transmission, including mechanisms of spread, viral evolution, and host immune responses. Our goal is to improve vaccines and antiviral strategies, reduce disease burden, and mitigate outbreaks.</p><p>
Responsibilities:</p><p>
The successful candidate will contribute to projects in one or more of the following areas: influenza transmission and epidemic outbreaks, including developing advanced deep learning models to predict emerging antigenic and genetic variants in human and animal populations and modeling how these variants drive continued circulation and disease outbreaks; effects of prior exposures and infection, including developing within-host and deep learning models to understand molecular, cellular, and host factors, particularly pre-existing immunity from prior exposures, that shape immune responses, viral transmission, and spread; and omics analyses, including developing and applying integrative approaches to analyze genomics, single-cell RNA sequencing, and glycomics data to investigate host&ndash;pathogen interactions and mechanisms of disease progression and burdens.</p><p>
The candidate will be expected to lead a computational biology team, including postdoctoral fellows, graduate students, and junior lab members, and to publish in peer-reviewed journals. The computational team will work closely with experimental researchers to support data generation and validation across human studies, animal models, and laboratory-based approaches. Additional responsibilities include contributing to project reports and grant preparation. Strong motivation and the ability to work collaboratively within a diverse, interdisciplinary team are essential.</p><p>
We support professional growth through collaborations with leading researchers at MU and beyond, along with opportunities for grant writing and independent project development</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Shift</b></h2><div><br>
<div><div>
</div><p>Onsite, Monday - Friday, 8am &ndash; 5pm</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Minimum Qualifications</b></h2><div><br>
<div><div>
</div><p>Bachelor's degree in related/relevant area and at least 4 years of experience from which comparable knowledge and skills can be acquired is necessary.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Qualifications</b></h2><div><br>
<div><div>
</div><p>PhD in Computer Science, Computational Biology, or a related field, with postdoctoral (or equivalent) research experience. Demonstrated expertise in computational modeling, machine learning (particularly deep learning), and analysis of large-scale biological datasets (e.g., genomics, transcriptomics, or other omics data). Strong programming skills (e.g., Python, R, or similar), experience with high-performance computing environments, and a track record of peer-reviewed publications are highly desirable.</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Anticipated Hiring Range</b></h2><div><br>
<div><div>
</div><p>Salary Range: $72,000.00 - $110,000.00 per year</p><p>
Grade: GGS 011</p><p>
University Title: Senior Scientist</p><p>
Internal applicants can determine their University title by accessing the Talent Profile tile in myHR.</p><br>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Application Materials</b></h2><div><br>
<div><div>
</div><p>Cover letter &amp; Resume/CV</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Other Information</b></h2><div><br>
<div><div>
</div><p>Want to learn more directly from people that work at the Bond Life Sciences Center? Check out our latest video highlighting the important work and experiences of our team:</p><p>
https://mizzou.us/WorkatBondLSC
</p><p>About Us:<br>
The Bond Life Sciences Center at the University of Missouri is a dynamic hub where groundbreaking research meets real-world impact. Designed to foster interdisciplinary collaboration, our state-of-the-art facility brings together experts in diverse fields&mdash;engineers, cancer biologists, plant scientists, and IT specialists&mdash;all working towards a common goal: to save lives, reduce costs, and enhance everyday life for Missourians and people around the globe.</p><p>
Our Mission:<br>
We are committed to transforming scientific discoveries into actionable solutions. Our innovative research not only addresses pressing challenges in human and animal health, the environment, and agriculture, but it also translates into meaningful improvements in the lives of individuals everywhere. We also strive to share our findings with the public, ensuring that our discoveries resonate far beyond the lab in a language anyone can understand through our blog, Decoding Science, events for the public, social media and more.</p><p>
Why Join Us?<br>
At the Bond Life Sciences Center, you&rsquo;ll be part of a vibrant community dedicated to making a difference. Our collaborative environment not only supports innovative research but also ensures that our discoveries lead to tangible benefits for society. Work in an award-winning facility designed for creativity and impact and contribute to a mission that truly changes lives.</p><p>
Join us in our quest to advance science and improve lives, one discovery at a time!</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Community Information</b></h2><div><br>
<div><div>
</div><p>Columbia offers small-town friendliness with big city features and a high quality of life for people of all ages and interests. Founded on education and known as an ideal college town, its location also makes it an attractive spot for businesses and travelers. Located on Interstate 70 and U.S. Highway 63, Columbia is right in the middle of the state and the nation. Just a couple hours&rsquo; drive from St. Louis and Kansas City, Columbia is Boone County&rsquo;s largest population center offering big-city culture, activities, and resources with a low cost of living. Columbia is home to a variety of restaurants and entertainment venues and hosts more than a dozen festivals each year. If you want to grow your career, continue your education, raise a family, and retire, Columbia is a good place to be!</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Benefit Eligibility</b></h2><div><br>
<div><div>
</div><p>This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, paid time off, short- and long-term disability, paid parental leave, paid caregiver leave, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty &amp; Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits.</p><p></p><p><b><br>
Equal Employment Opportunity</b></p><p>
The University of Missouri is an Equal Opportunity Employer.</p><p><br>
To request ADA accommodations, please call the Director of Accessibility and ADA at 573-884-7278.</p></div></div></div></div></div>

Senior Scientist - Wan Lab

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