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Temporary Bioinformatics Data Scientist Jobs (NOW HIRING)

Axle

Bioinformatics/Data Scientist

Frederick, MD

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

Axle

Bioinformatics/Data Scientist

Frederick, MD · On-site

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

Axle

Bioinformatics/Data Scientist

Frederick, MD

Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The ...

Legend Biotech USA, Inc.

Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.Role OverviewWe are seeking a highly motivated, passionate ...

Axle

Bioinformatics Scientist

Bethesda, MD

What programming languages are you comfortable using for bioinformatics data analysis? * What ... What life science disciplines do you have experience in? (e.g., immunology, infectious disease ...

Axle

Bioinformatics Scientist

Bethesda, MD · On-site

What programming languages are you comfortable using for bioinformatics data analysis? * What ... What life science disciplines do you have experience in? (e.g., immunology, infectious disease ...

Axle

Bioinformatics Scientist

Bethesda, MD

What programming languages are you comfortable using for bioinformatics data analysis? * What ... What life science disciplines do you have experience in? (e.g., immunology, infectious disease ...

Caris MPI, Inc.

Scientist - Bioinformatics

Phoenix, AZ · On-site

$120 - $180/hr

Collaborate with research, clinical, and data scientists to identify computational needs, translate ... Stay abreast of emerging bioinformatics tools, techniques, and best practices, and work to ...

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Temporary Bioinformatics Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do temporary bioinformatics data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for temporary bioinformatics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Bioinformatics Data Scientist vs Bioinformatics Data Analyst?

AspectTemporary Bioinformatics Data ScientistBioinformatics Data Analyst
CredentialsTypically requires a master's or Ph.D. in bioinformatics, computational biology, or related fieldsUsually holds a bachelor's or master's degree in bioinformatics, biology, or data analysis
Work EnvironmentContract-based roles in research labs, biotech companies, or pharma firmsOften employed in research institutions, healthcare, or biotech companies
Employer & Industry UsageUsed for short-term projects requiring advanced modeling and algorithm developmentFocuses on data processing, visualization, and reporting tasks

The main difference is that Temporary Bioinformatics Data Scientists typically have advanced degrees and focus on developing models and algorithms, while Bioinformatics Data Analysts concentrate on data interpretation and reporting. Both roles are essential in biotech and research settings but differ in scope and expertise level.

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Temporary Bioinformatics Data Scientist jobs near you

Bioinformatics Data Scientist (Part-time/Temporary)

San Diego, CA • On-site

Artiva Biotherapeutics, Inc.
Biotechnology Research and Development • 11 - 50 employees
Learn more about Artiva Biotherapeutics, Inc.external

$55 - $65/hr

Temporary

Posted 6 days ago

Job description

About Artiva:
We are a clinical-stage biotechnology company focused on developing natural killer (NK) cell-based therapies. Our mission is to develop effective, safe, and accessible cell therapies for patients with devastating autoimmune diseases. We aim to develop therapies that patients and physicians can utilize in a community setting. Our lead product candidate, AlloNK®, is a non-genetically modified, cryopreserved NK cell therapy being evaluated in combination with B-cell targeted monoclonal antibodies (mAbs). We believe the compelling cell killing properties of NK cells, when combined with mAbs for targeting, creates an opportunity to generate potentially transformative therapies.
For more information, visit www.artivabio.com.
Position Summary:
Artiva Biotherapeutics is seeking a part-time/temporary Bioinformatics Data Scientist to help garner biological insights from multimodal biological data. You will design and maintain bioinformatics pipelines, generate insights, and build automated dashboards and reports in collaboration with wet-lab scientists, clinician-researchers, and data engineers.
Responsibilities:
  • Design, develop, and maintain bioinformatics pipelines and workflows for diverse biomedical data types including bulk RNA-seq, scRNA-seq, proteomic, and flow cytometric data.
  • Perform multi-omics and biomarker analysis including quality control, normalization, batch correction, differential expression analysis, clustering, dimensionality reduction (PCA, UMAP, t-SNE), cell type annotation, comparative analysis, and pathway analysis.
  • Support data integration, curation, and lifecycle management including annotation, data ingestion, metadata capture, schema management, and provenance tracking. Enable reliable data movement from source systems into structured, analysis-ready formats.
  • Build and support interactive dashboards, visualization tools, notebooks, and reports enabling researchers and clinicians to explore multi-omics, clinical, and sequencing data. Support figure generation for quality control, differential expression, and pathway analyses. Translate complex computational findings into clear biological narratives.
  • Collaborate with multidisciplinary teams including wet-lab scientists, bioinformaticians, clinician-researchers, biostatisticians, data engineers, and IT personnel.

Required Qualifications:
  • Bachelor's or master's degree (preferred) in Computer Science, Data Science, Bioinformatics, Computational Biology, or related field, and demonstrated experience (typically 2+ years) in bioinformatics pipeline development and biological data science.
  • Proficiency in Python for analysis, scripting, data science, and visualization. Familiarity with biological computing and data science libraries (e.g., Scanpy, Pandas, NumPy, scikit-learn).
  • In-depth knowledge of modern tools and pipelines for processing, aligning, and analyzing multimodal NGS and omics data. Knowledge of standard bioinformatics data formats (FASTQ, FCS) and related processing tools.
  • Proficiency with at least one pipeline framework (e.g., Airflow, Snakemake, Nextflow).
  • Experience with a cloud computing environment (GCP, AWS, Azure). Proficiency with queryable databases (e.g., PostgreSQL, BigQuery). Ability to work with structured, semi-structured, and unstructured data across relational and data lake environments.
  • Awareness of data governance, privacy, and compliance requirements for clinical and research data.
  • Strong background in constructing statistical models, hypothesis testing, regression analysis, clustering, and dimensionality reduction techniques. Demonstrated experience with machine learning (ML) methods and applying ML techniques to biological and clinical datasets. Knowledge of differential expression analysis, pathway analysis, and statistical methods relevant to genomic data.

Preferred Qualifications:
  • Advanced Development Tools: Experience with frameworks for web application development (Django, Flask, RShiny, Streamlit, React). Experience with CI/CD pipelines.
  • Advanced Biomedical Domain Knowledge: Background in biomedical research, clinical research, immunology, or healthcare analytics.
  • Governance & Data Management: Experience with metadata management, data lineage, open-source code release, containerized analyses, and secure handling of de-identified or access-controlled research datasets.

Compensation: $55 - 65/hr. Exact compensation may vary based on skills and experience.
If all this speaks to you, come join us on our journey!

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