Life Sciences

Life Sciences Data Jobs

3 jobs found

1mo ago

Data Scientist (Computational Genomics)

US Smithsonian Institution Washington, DC

Washington, DC

1mo ago Closed

$122k - $158k/yr Full time Analytics Bioinformatics Data Analysis

This position is no longer accepting applications (closed Aug 31, 2026).

Job Description

This federal data science role applies computational genomics methods to large biodiversity datasets, with on site work in Washington, DC.

Responsibilities

Act as a recognized expert in data science, genomic data integration and interoperability, operations research, and data management with analytics and visualization.
Plan, conduct, and supervise bioinformatics research and analyses of genomic, transcriptomic, metagenomic, and Next Generation Sequencing datasets, among others.
Apply advanced data science techniques and governance to data management, analytics, and visualization to inform projects.
Provide informal and formal training in bioinformatics and genomics through workshops, carpentries, seminars, and short courses.
Produce publicly accessible training videos demonstrating genomic analysis workflows.
Leverage advanced programming skills and analytical approaches to analyze datasets consisting of qualitative, quantitative, structured, and unstructured data.

Requirements

Successful completion of a pre-employment background investigation.
May be required to complete a probationary period.
Maintain an active bank account for direct deposit/electronic transfer.
Selective Service registration required for males born after 12/31/1959.

Benefits

Paid vacation and sick leave
Holidays
Health insurance
Life insurance
Accident insurance
Flexible Spending Accounts
Long Term Care Insurance
Retirement Program

Open to

The public
U.S. Citizens, Nationals or those who owe allegiance to the U.S.

Clarification from the Agency

This position is open to all U.S. Citizens or U.S. Nationals. More than one selection may be made from this announcement.

Overview

Accepting applications
Location: Washington, DC with few vacancies
Telework eligible: Yes, ad hoc only
Remote job: No
Salary: USD 121,785 - 158,322 per year
Pay scale & grade: GS-13; Promotion potential up to GS-13
Work schedule: Full-time, permanent
Travel: Occasional up to 25%
Appointment type: Permanent - Federal
Occupations and job series: 1560 Data Science Series
Supervisory status: No
Federal service type: Competitive Service
Represented by a union: No
Drug test: No
Security clearance: Other
Position sensitivity and risk: Non-sensitive / Low Risk
Background check type: Credentialing
Financial disclosure required: No
Announcement number: 26R-JW-314317-DEU-NMNH
Control number: 877856700

Required Documents

Resume: Included with application or via USA Jobs resume builder; must list job title, qualifications, start/end dates, hours per week for each period; two-page limit; ensure all information is submitted.
Proof of Veteran's Preference: DD214 (Member 4 Copy); for 10-point preference, complete SF-15 and provide additional documentation (VA letter).
Unofficial school transcripts if education is required or used to qualify; official transcript required if selected.
Proof of U.S. accreditation for foreign study, if applicable.

How to Apply

Click on the Apply Online button to submit your application.
Apply online and submit required supplemental documents as relevant.
Resume must be no more than two pages.
Upload required documents online during the application process.
Complete package due by 11:59 PM Eastern Time on the closing date.
If online submission is not possible, paper applications may be considered with prior approval.
Tips on applying for Smithsonian jobs are available at the provided link.
Relocation expenses are not paid by the Smithsonian; recruitment incentives may be authorized.
The Smithsonian is an equal opportunity employer.

Agency Contact Information

Jan Williams
Phone: 202-633-6383
Email: WilliJa@si.edu
Address: Smithsonian Office of Human Resources, POB 37012, 600 Maryland Avenue, MRC 517, Suite 5060, Washington, DC 20013-7012, United States

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1mo ago

Bioinformatics/Data Scientist

Axle Frederick, MD

Frederick, MD

1mo ago Closed

$105k - $120k/yr Full time Python Bioinformatics Data Analysis

This position is no longer accepting applications (closed Aug 25, 2026).

Job Description

Axle in Frederick, MD (onsite) is seeking a Bioinformatics/Data Scientist to analyze multi-omics data from organoid systems and normal tissues, supporting the NIH SOM Center with a salary range of USD 105,000 - 120,000 per year.

Responsibilities

Analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics from organoid systems and their tissue counterparts.
Develop and implement computational pipelines for data processing, quality control, and statistical analysis.
Integrate SOM generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.
Collaborate with experimental teams to interpret results, guide protocol optimization, and contribute to manuscript preparation and presenting findings at scientific conferences.

Requirements

PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.
Extensive experience with single-cell data analysis, including familiarity with Seurat, Scanpy, or similar platforms.
Strong programming skills in R and Python, with experience in statistical analysis and data visualization.
Knowledge of proteomics and metabolomics data analysis workflows.

Technologies

Seurat
Scanpy
R
Python

Benefits

Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts: Healthcare (FSA)
Flexible Spending Accounts: Parking Reimbursement Account (PRK)
Flexible Spending Accounts: Dependent Care Assistant Program (DCAP)
Flexible Spending Accounts: Transportation Reimbursement Account (TRN)

Cover Letter Required

Please answer the following questions and submit application at: BIOINFORMATICS/DATA SCIENTIST:

What experience do you have working with large datasets and compute clusters?
Describe your experience building workflows/pipelines and/or using bioinformatics software and tools to analyze data.
What programming languages are you comfortable using for bioinformatics data analysis?
What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics, epigenetics, flow, spatial, metagenomics, etc.)
What life science disciplines do you have experience in? (e.g., immunology, infectious disease, cancer research, etc.)
Provide examples of basic machine learning/AI concepts and/or how you've applied them in bioinformatics data analysis.

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1mo ago

Data Scientist II

Axle Rockville, MD

Rockville, MD

1mo ago Closed

$130k - $145k/yr Full time Python Analytics Anndata

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Axle is seeking a Data Scientist II to support the National Cancer Institute (NCI) at the NIH in Rockville, MD, with a salary range of USD 130,000 to 145,000 per year.

Responsibilities

Design, implement, and maintain reproducible bioinformatics pipelines for diverse biomedical data types including genomic, transcriptomic, single-cell, spatial, proteomic, metagenomic, metabolomic, and clinical datasets; develop reusable transformation logic and curated datasets for analytics, dashboards, APIs, notebooks, and downstream research workflows.
Collaborate on multi-omics analyses for NCI CBIIT labs, covering bulk RNA-seq workflows (quality control, differential expression, gene set enrichment analysis), single-cell RNA-seq (clustering, UMAP/t-SNE visualization, cell type annotation, DEG), and Digital Spatial Profiling tasks (annotation, QC, normalization, spatial deconvolution, volcano plots, heatmaps).
Enable reliable data movement from source systems into analysis-ready formats; support ingestion, curation, metadata capture, source-to-target mapping, schema management, provenance tracking, and long-term maintainability of data products.
Apply statistical methods and machine learning techniques to biomedical data, including hypothesis testing, regression, clustering, dimensionality reduction (PCA, UMAP, t-SNE), and classification; incorporate AI or LLM-based extraction where appropriate with clear validation and stakeholder communication.
Develop and support researcher-facing applications and visualizations, including interactive dashboards (Shiny, Streamlit), notebooks, reports, and APIs to explore multi-omics and clinical data; assist with figure generation for QC, differential expression, pathway, and spatial analyses.
Collaborate with data scientists, bioinformaticians, researchers, developers, and government stakeholders to translate scientific needs into technical specifications, data models, and reusable workflows that accelerate biomedical research.

Requirements

Education and background: Bachelor's degree in Data Science, Bioinformatics, Computer Science, Biological Sciences, or a related field; advanced degree preferred, or equivalent experience. Demonstrated experience in data-intensive roles supporting biomedical research or scientific computing.
Data science and bioinformatics expertise: Proficiency in Python and R for analysis, scripting, and visualization; hands-on experience with at least two omics data types such as bulk RNA-seq, scRNA-seq, spatial transcriptomics, proteomics, metagenomics, or GWAS.
Analytical skills: Strong foundation in statistical modeling, dimensionality reduction, clustering, differential expression analysis, and pathway analysis; experience with structured, semi-structured, and unstructured data across relational and data lake environments.
Collaboration and communication: Excellent problem-solving abilities with the ability to communicate across technical and non-technical audiences; capable of translating scientific needs into technical solutions and clearly articulating risks, assumptions, and limitations.
Domain alignment: Genuine interest in biomedical and translational research; ability to quickly learn domain terminology and workflows, with awareness of data governance, privacy, and compliance requirements for clinical and research data.

Technologies

Python, R, Shiny, Streamlit, Snowflake, Databricks, Galaxy, Terra, Nextflow, WDL, Snakemake, Singularity, CWL, Scanpy, Squidpy, SCIMAP, AnnData, Jupyter, Posit Connect, AWS, EC2, S3, Lambda, SLURM, SGE, NIH Biowulf

Benefits

100% Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts: Healthcare, Parking Reimbursement Account, Dependent Care Assistant Program, Transportation Reimbursement Account

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Life Sciences Data Jobs

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