bioinformatics scientist

Tract Bio

OverviewTract Bio, located in The Pearl Innovation District in Charlotte, NC, is seeking a highly motivated Bioinformatics Scientist to join our growing team. Tract Bio Therapeutics is a fast- growing startup developing novel small-molecule therapeutics. This position offers the opportunity to contribute to cutting-edge projects with direct translational impact.Key Responsibilities&middot; Integrate genomics, proteomics, and epigenomics data to identify and validate novel therapeutic targets for small-molecule intervention.&middot; Lead the analysis of large-scale datasets, specifically focusing on Whole Genome Sequencing (WGS), GWAS, ChIP-seq, and ATAC-seq to uncover regulatory mechanisms.&middot; Develop and maintain reproducible pipelines tailored for execution on standalone Linux servers.&middot; Administer the company&rsquo;s on-premise multi-server Ubuntu environment, ensuring high availability and security for the R&amp;D team.&middot; Partner with chemists and biologists to interpret biological data, guide mechanism-of- action studies, and support decision-making.Required Qualifications&middot; Ph.D. in Bioinformatics, Computational Biology, Computer Science, or a related field; OR M.S. with 3+ years of relevant industry experience.&middot; Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.&middot; Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.&middot; Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.Preferred Qualifications&middot; Ph.D. with 2+ years of post-graduate industry experience in biotech or pharma.&middot; A strong publication record (e.g., 2+ first-author publications in peer-reviewed journals) demonstrating the ability to lead projects and communicate scientific findings.&middot; Deep understanding of molecular biology, immunology, or oncology&middot; Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).&middot; Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.Pay: $110,000.00 - $130,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Health savings account</li><li>Life insurance</li><li>Relocation assistance</li><li>Retirement plan</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field; OR M.S. with 3+ years of relevant industry experience.</li></ul>Demonstrated experience with WGS, GWAS, ChIP-seq, or ATAC-seq analysis pipelines and biological interpretation.Strong proficiency in Python and R for statistical analysis, algorithm development, and data visualization.Expert-level skills in managing Ubuntu/Debian systems, including setting up and managing secure remote access protocols (VPN, SSH tunneling), monitoring system resources and troubleshooting hardware/OS level issues.Deep understanding of molecular biology, immunology, or oncology.Proficiency with pipeline tools (Nextflow, Snakemake) and version control (Git).Experience applying machine learning techniques or predictive modeling to identify patterns in high-dimensional biological datasets and prioritize therapeutic targets.Education:<ul><li>Doctorate (Preferred)</li></ul>Security clearance:<ul><li>Confidential (Required)</li></ul>Ability to Relocate:<ul><li>Charlotte, NC 28204: Relocate with an employer provided relocation package (Preferred)</li></ul>Work Location: In person

Bioinformatics Scientist

Genentech

<div><div><div>THE POSITION</div>
We advance science so that we all have more time with the people we love.
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.
The Opportunity:
As an integral member of our dynamic team, you will be:<ul><li>
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.</li><li>
Developing methods to analyze and interpret new types of perturbation data.</li><li>
Applying statistics and machine learning to investigate data and extract biological insights.</li><li>
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</li></ul>
Who You Are:<ul><li>
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.</li><li>
Strong publication record of biological discovery and/or methods development.</li><li>
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.</li><li>
Comfortable with the statistical principles behind current best practices in high-throughput data analysis.</li><li>
Fluent in Python and/or R.</li><li>
Excellent communication and presentation skills.</li><li>
Able to work successfully in cross-functional teams to collaboratively solve complex problems.</li><li>
Passionate about applying your analytical skills to understand health and disease.</li></ul>
Preferred Experience:<ul><li>
Experience with in situ data (FISH or ISS barcode calling).</li><li>
Familiarity with image analysis frameworks or libraries (e.g., CellProfiler).</li><li>
Experience with genomic data including single cell RNA-seq and perturbation screens is a plus.</li><li>
Experience with applying machine learning to high throughput datasets is a plus.</li></ul>
Relocation benefits are available for this posting.
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.
Benefits
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.
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.</div>
<div><div>JOB FACTS
</div><div><div><ul><div>Job Sub Category
Research Informatics
</div><div>Schedule
Full time
</div><div>Job Type
Regular
</div><div>Posted Date
Apr 10th 2026
</div><div>Job ID
202604-108731</div></ul></div></div></div></div>

Computational Scientist 3 - Cell & Tissue Genomics

Cincinnati Children's Hospital

At Cincinnati Children’s Hospital Medical Center - consistently recognized as one of the nation’s top places to work and a global leader in pediatric research and care - we are driven by a shared commitment to discovery, collaboration, and impact. We are seeking a highly motivated Bioinformatics Analyst or a Postdoctoral Research Fellow at various career stages. Exact position and title will be commensurate with the candidate’s qualifications and experience.
 
The Computational Regulatory Genomics Laboratory develops statistical and machine learning–based methods to understand the fundamental mechanisms of gene transcriptional regulations in various biological contexts. Our research focuses on enhancer regulation and systems-level understanding of enhancer architectures and functions across diverse biological contexts. We integrate multi-omics data, including ChIP-seq, ChIP-exo, CUT&RUN, GRO-seq, csRNA-seq, RNA-seq, ATAC-seq, Hi-C, and single-cell technologies, to delineate heterogeneous architectures of transcription factor binding events and chromatin landscapes at high resolution. The lab broadly collaborates with multiple experimental laboratories, encompassing metabolism, cancer, and development. The lab’s works were published in many high-profile journals such as Nature, Cell Metabolism, Molecular Cell, Genes & Development, Circulation, Nature Communications, and the Journal of Clinical Investigation.
 
JOB RESPONSIBILITIES
 
Informatics
 
Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases).
 
Collects and records appropriate metadata.
 
Ensures data are securely stored yet highly accessible to authorized users.
 
Develops and executes data characterization/quality assessment routines of basic to moderate complexity including metadata standardization.
 
Data Analysis
 
Assists analysts and managers in building robust pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing).
 
Utilizes existing software and contributes to the development of new and existing tools to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage).
 
Helps develop scalable, searchable and secure data structures, utilizing best-practices as much as possible.
 
Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients.
 
Maintains computational infrastructures and controls the flow of data and information for studies.
 
Provides web-based bioinformatics tools and access to public and proprietary relational databases.
 
Documents standard operating procedures based on best practice.
 
Works in collaboration with both technology and scientific teams.
 
Requirements Gathering
 
Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows.
 
Problem-solves and discusses possible solutions with the stakeholders.
 
Considers the implications of possible solutions on the current environment.
 
Software Evaluation & Development
 
Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows.
 
Participates in various aspects of the software development life cycle, including identification of key stakeholders, design requirements gathering, system analysis and design, code generation, testing and implementation.
 
Effectively communicates the status of all efforts to necessary parties.
 
Utilizes project and time management skills to complete projects within specific timeframes.
 
Publication
 
Contributes to analyses and publications.
 
Generates reports and figures for publications.
 
Assists with materials for publications and scientific meetings.
 
Works closely with biostaticians on the production of publication and presentation materials.
 
JOB QUALIFICATIONS
 
Bioinformatics Analyst: 
Master's or doctoral degree in a related field
 
2+ years of work experience in a related job discipline OR equivalent combination of education and experience
 
Research Fellow: 
Doctoral degree in a related field
 
4+ years of work experience in a related job discipline OR equivalent combination of education and experience
 
Primary Location Exploration Avenue
 
Schedule Full time
 
Shift Day (United States of America)
 
Department Biomedical Informatics
 
Employee Status Regular
 
FTE 1
 
Weekly Hours 40
 
About Us
 
At Cincinnati Children’s, we come to work with one goal: to make children’s health better. We believe in a holistic team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.
 
Cincinnati Children's is: 
Recognized by U.S. News & World Report as a top 10 best Children's Hospitals in the nation for more than 15 years
 
Consistently among the top 3 Children's Hospitals for National Institutes of Health (NIH) Funding
 
Recognized as one of America’s Best Large Employers (2025) , America’s Best Employers for New Grads (2025)
 
One of the nation's America’s Most Innovative Companies as noted by Fortune
 
Consistently certified as great place to work
 
A Leading Disability Employer as noted by the National Organization on Disability
 
Magnet® designated for the fourth consecutive time by the American Nurses Credentialing Center (ANCC)
 
 We Embrace Innovation—Together. We believe in empowering our teams with the tools that help us work smarter and care better. That’s why we support the responsible use of artificial intelligence. By encouraging innovation, we’re creating space for new ideas, better outcomes, and a stronger future—for all of us.
 
Comprehensive job description provided upon request.
 
Cincinnati Children’s is proud to be an Equal Opportunity Employer committed to creating an environment of dignity and respect for all our employees, patients, and families. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, genetic information, national origin, sexual orientation, gender identity, disability or protected veteran status. EEO/Veteran/Disability

Senior Bioinformatics Analyst

Qatar University

<div><ul><li>Design and implement biostatistical and bioinformatics pipelines for omics and large-scale biological data (e.g., genomics, transcriptomics, epigenetics, metabolomics)</li><li>
Perform complex statistical analyses, including modeling, hypothesis testing, and predictive analytics</li><li>
Provide consultation on experimental design and assist in interpreting results with a strong emphasis on scientific rigor</li><li>
Support and co-author scientific publications, grants, and research proposals in coordination with faculty and research teams</li><li>
Collaborate across interdisciplinary teams including clinicians, laboratory scientists, computational biologists, and project managers</li><li>
Lead the integration of data pipelines and platforms, ensuring compatibility with clinical and research standards</li><li>
Mentor junior staff, including training in biostatistics and bioinformatics tools and best practices</li><li>
Participate in recruitment efforts and contribute to the development of a bioinformatics/biostatistics section</li><li>
Remain current with methodological advancements in bioinformatics, statistics, and data science</li></ul>
Qualifications
 PhD in Biostatistics or related field
Required Documents
<div>Non Academic:</div>
<div><ul><li>Curriculum Vitae with cover letter.</li></ul>
<ul><li>Experience Certificates.</li></ul>
<ul><li>At least three references including contact numbers and email addresses.</li></ul>
<ul><li>Highest Academic Qualification.</li></ul></div>
Academic:
<div><ul><li>Current Curriculum Vitae with Cover letter.</li></ul>
<ul><li>Teaching,research, and service philosophy.</li></ul>
<ul><li>Three referees&rsquo; contact information (physical and email addresses as well their telephones contact).</li></ul>
<ul><li>Copy of highest earned credential (transcript of highest degree if graduated from an institution where course work was completed.However, if no course work was completed,an copy of certificate letter from the registrar of your highest credential granting institution regarding your highest academic degree).</li></ul>
<ul><li>Any additional documentation that you feel is relevant to your application.</li></ul></div>
Benefits
<div>Non Academic:</div>
<div><ul><li>Competitive tax-free salary.</li></ul>
<ul><li>Housing allowance in accordance with HRM Law.</li></ul>
<ul><li>Annual air tickets for candidate and dependents according to QUHR policies.</li></ul>
<ul><li>Public health care and health insurance to candidate and family members according to QU HR policies.</li></ul>
<ul><li>Annual leave in accordance with HRM Law.</li></ul>
<ul><li>End-of-contract indemnity.</li></ul></div>
Academic:
<div><ul><li>A three-year renewable contract.</li></ul>
<ul><li>Salary is commensurate with experience.</li></ul>
<ul><li>Tax-free salary.</li></ul>
<ul><li>Furnished accommodation in accordance with QU HR policies.</li></ul>
<ul><li>Annual air tickets for faculty member and dependents in accordance with QU HR policies.</li></ul>
<ul><li>Educational allowance for candidate's children (eligible candidates only) in accordance with QU HR policies.</li></ul>
<ul><li>Private health care and health insurance in accordance with QU HR policies.</li></ul>
<ul><li>Annual leave in accordance with QU HR policies.</li></ul>
<ul><li>End-of-contract indemnity.</li></ul></div>
How To Apply New Applicant: You need to setup an account with QU Recruitment Online website (https://careers.qu.edu.qa) and complete your personal profile. Once your profile is complete you may use it to apply for an open Position.</div>

Biostatistician

The Geneva Foundation

<div>At Geneva, we are always on the search for top talent. While this role is not associated with a current opening, one may become available in the near future. Resumes are reviewed on an ongoing basis, and you could be contacted for this role or similar, at anytime. 
 
About the Position 
 
The Bioinformatics Analyst will use computational and statistical tools to interpret vast biological datasets to support scientific research and discoveries. Duties will include designing algorithms, databases, collaborating with researchers, and analyze and communicate complex findings through visualizations and reports.
QUALIFICATIONS<ul><li>
Masters Degree in Bioinformatics, Computational Biology, Genetics, Pre-Med/Nursing, or a related scientific field preferred</li><li>
AHIC (Health Informatics Certification) is a plus</li><li>
1 year medical paraprofessional experience</li><li>
1 year working in clinical informationcs department at an accredited university</li><li>
Minimum 2-3 years of combined experience next generation sequencing (NGS) data analysis, adept in the development of Next-Generation Sequencing (NGS) analysis pipelines and large-scale data management and processing</li><li>
Minimum 3 years of experience in full software development life cycle with strong skills in software analysis, database design, data modeling, different data types architecture development and data management</li><li>
Experience working with internal and/or external stakeholders on solution design and implementation</li><li>
Programming languages: R, PHP, JavaScript, Perl, Python, SQL, Shell Scripting and Java. Computing Environments: HPC clusters, SLURM, Linux, Mac OS X, Windows</li><li>
Working knowledge of biomedical ontologies (i.e. UMLS, RxNorm, SNOMED CT)</li><li>
Working knowledge and understanding of unstructured, semi-structured, and structured healthcare data</li><li>
Strong familiarity with surgical and molecular pathology repotts, next-generation sequencing report, or clinician notes</li><li>
Demonstrated competency in oral and written communication</li><li>
Must be organized, attentive to detail and reliable, possess good judgment and a positive, friendly &amp; professional demeanor</li><li>
Must be flexible with changing priorities and able to communicate in a diplomatic and professional manner</li></ul>
RESPONSIBILITIES<ul><li>
Translate PI/study needs through design and configuration of software capabailities to deliver desired outcomes and customization of use</li><li>
Modify software application design as needed to meet PI/study needs</li><li>
Design &amp; implement algorithms fpr data processing, and develop &amp; maintain bioinformatics databases</li><li>
Work closely and collaborate with researchers, computer scientists, and others involved to design experiments and interpret results</li><li>
Utilizes high performance computing assets and large data bases (big data)</li><li>
Analyses of problems to develop integrated solutions involving computer hardware and software</li><li>
Applies theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses</li><li>
Incorporate problem solving techniques to develop integrated solutions involving computer hardware and software</li><li>
Identify complex problems and review related information to develop and evaluate options and implement solutions</li><li>
Use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems</li><li>
Perform highly complex network tasks and systems studies</li><li>
Analyze and compare existing systems and subsystems, and make recommendations to increase scope and performance</li><li>
Oversee laboratory information systems and develop new methods for analyzing large, complex data sets</li><li>
Maintain up-to-date knowledge of clinical informatics</li></ul></div>

BioInformatics Analyst

Louisiana State University

<div></div><div><div><ul><li>New Orleans, Louisiana, United States
</li> </ul></div><div></div><div><ul><li>Fellows
</li> </ul></div><div></div><div><ul><li>Medicine</li></ul></div></div>
 <div>Title: RESEARCH FELLOW

Employee Type: Fellows

Department: Center of excellence-Cancer

Campus Location: CANCER CENTER/SETON BLDG./2025

Job Summary/Basic Functions

The LSU Cancer Center is seeking a Postdoctoral Research Fellow with strong quantitative training to lead and support computational and methodological development across several active projects in systems immunology, virology, and cancer biology. The Postdoctoral Fellow must be comfortable operating across big data (sequencing and imaging) to develop novel analytical pipelines rather than applying off-the-shelf tools. The Postdoctoral Fellow will work closely with the PI, other faculty, and collaborators on alternative and exploratory projects that require deep analytical thinking, algorithmic development, and integration of biological insight with computational rigor. Specifically, the Postdoctoral Fellow will play a central role in advancing PhIP-seq analysis pipelines, and image analysis &amp; deep learning development.

Other Information About the Position

The Postdoctoral Fellow will work in a highly collaborative, interdisciplinary environment.
<div>
The position offers opportunities to: 
<ul><li>Lead first-author methodological manuscripts</li><li>Contribute to large NIH-funded, multi-omics projects</li><li>Develop skills applicable to academia, industry, or data science leadership roles</li><li>Help shape the computational infrastructure of a growing research program</li></ul></div>

Minimum Qualifications

Required Education: PhD or equivalent

Required Field of Study: Biomedical/Electrical Engineering, Bioinformatics, Systems Biology, Computer Science, or related field OR Basic or health science, or related field

Substitution: MD can substitute for a PhD

Preferred Qualifications

Preferred Experience:
<ul><li>Strong proficiency in MATLAB, Python, and R</li><li>Experience with NGS data analysis and statistical modeling</li><li>Solid foundation in probability, statistics, and linear algebra</li><li>Ability to reason critically about bias, artifacts, and assumptions in high-throughput data</li><li>Comfortable working across biology, math, and computation</li><li>Experience with deep learning frameworks (PyTorch, TensorFlow, JAX)</li><li>Experience with HPC environments, GPUs, or large-scale data storage.</li></ul>

Additional Information About Our School/Department

Comprehensive benefits are available to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement plans; generous annual and sick leave; 14 paid holidays per year; and an employee health primary care clinic. See following link for more details on our benefits offerings: LSUHSC, New Orleans - Benefits
Other employee benefits include a full-service credit union, wellness benefits featuring complimentary fitness center membership for employees and their spouses, employee assistance program, campus assistance program, and pet insurance option. More information about these benefits can be found on this webpage: Additional Benefits</div>

RESEARCH FELLOW

GAP Solutions, Inc.

<div>
 
 
 Position Objective:
 
 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).
 
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 
 
 
 
 
 
 
 Duties and Responsibilities:
 
 
 <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
 
 1
 
 </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.
 
 5
 
 </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.
 
 3
 
 </li>
 <li>
 Oversee project data quality; analyze and interpret project data.
 
 2
 
 </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.
 
 4
 
 </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>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <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>
 
 
 
 
 
 
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 <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>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 *This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.
 
 
 
 
 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.
 
 
 
 
 GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job us at
 
 recruiting@gapsi.com
 
 . 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.
 
 
 
 
 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.
 
 
 This position is contingent upon contract award.
 
</div>

Health Data Scientist

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