ZipRecruiter

Log In

1

Computer Science Bioinformatics Jobs in Brooklyn, NY

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

D. in Computer Science, Bioinformatics, Statistics, Computational Biology, or other relevant quantitative discipline. • Good organization and communication skills, with demonstrated ability to ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

D. in Computer Science, Bioinformatics, Statistics, Computational Biology, or other relevant quantitative discipline. • Good organization and communication skills, with demonstrated ability to ...

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · On-site

$165K - $228K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. * 5+ years of industry experience as an Applied Scientist ...

Merck & Co.

Software Engineer - AI Development

Rahway, NJ · On-site

$87 - $137/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in Computer Science, Software Engineering, Information Technology, or a related field, or ... Background or interest in life sciences, bioinformatics, computational chemistry, or related ...

previous pagenext page

Showing results 21-40

All JobsComputer Science Bioinformatics JobsComputer Science Bioinformatics Jobs in Brooklyn, NY

Computer Science Bioinformatics information

See Brooklyn, NY salary details

$5

$46

How much do computer science bioinformatics jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for computer science bioinformatics in Brooklyn, NY is $44.99, according to ZipRecruiter salary data. Most workers in this role earn between $44.76 and $45.24 per hour, depending on experience, location, and employer.

Is computer science bioinformatics still a good career?

Computer science bioinformatics remains a strong career choice due to ongoing advancements in genomics, personalized medicine, and data analysis. Professionals in this field use programming, statistical skills, and tools like Python and R to analyze biological data, with demand growing in research, healthcare, and biotech industries.

What jobs can I get with computer science bioinformatics?

With a background in computer science bioinformatics, common jobs include bioinformatics analyst, computational biologist, data scientist in healthcare, and research scientist. These roles often require skills in programming, data analysis, and familiarity with biological databases and tools like Python, R, and SQL.

What are some typical daily responsibilities for someone working in computer science bioinformatics?

Professionals in Computer Science Bioinformatics typically spend their days designing and implementing algorithms to analyze large-scale biological datasets, developing custom software tools, and interpreting results to support ongoing research. Collaboration with biologists, clinicians, and other computational scientists is common, requiring regular meetings to discuss project goals, troubleshoot issues, and refine data analysis approaches. You may also be expected to keep up with new technologies and scientific literature to ensure your methods remain cutting-edge. The dynamic nature of this field means your tasks can evolve quickly, providing opportunities to tackle novel problems and drive meaningful impact in science and medicine.

What are the key skills and qualifications needed to thrive in computer science bioinformatics, and why are they important?

To thrive in Computer Science Bioinformatics, you need a solid background in computer science, biology, and statistics, often supported by a relevant degree or advanced certification. Proficiency in programming languages such as Python, R, and experience with bioinformatics tools and databases like BLAST, GenBank, and cloud platforms are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for this interdisciplinary field. These skills allow professionals to efficiently analyze complex biological data, collaborate with cross-functional teams, and contribute to critical discoveries in healthcare and biotechnology.

What is a computer science bioinformatics?

A Computer Science Bioinformatics job involves using computational techniques to analyze and interpret biological data, such as DNA sequences, protein structures, and genomic information. Professionals in this field develop algorithms, software tools, and databases to support biological research and medical advancements. They work in areas like genomics, drug discovery, and personalized medicine, often collaborating with biologists, chemists, and healthcare professionals. Strong programming skills, data analysis expertise, and knowledge of biology are essential for success in this field.

What are popular job titles related to Computer Science Bioinformatics jobs in Brooklyn, NY?

For Computer Science Bioinformatics jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Computer Science Bioinformatics jobs in Brooklyn, NY look for?

The top searched job categories for Computer Science Bioinformatics jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Computer Science Bioinformatics jobs?

Cities near Brooklyn, NY with the most Computer Science Bioinformatics job openings:

Computer Science Bioinformatics jobs near you
Infographic showing various Computer Science Bioinformatics job openings in Brooklyn, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $93,584 per year, or $45 per hour.

Scientist/Senior Scientist, Computational Biology

Volastra Therapeutics

New York, NY • On-site

$100K - $136K/yr

Full-time

Re-posted 20 days ago

Job description

COMPANY
Volastra Therapeutics, Inc. is a clinical-stage oncology biotech company based in New York City, pioneering novel approaches to treating cancer by targeting chromosomal instability (CIN), a unique vulnerability in cancer. Since its founding in 2019, Volastra has grown to support ongoing discovery efforts and a growing clinical organization.
Our lead pipeline programs focus on two distinct inhibitors of KIF18A, a novel therapeutic target. VLS-1488, internally discovered, entered clinical trials in Q4 2023 for the treatment of advanced cancers. Sovilnesib, in-licensed from Amgen in 2023, re-entered the clinic in Q2 2024. Both assets have been granted Fast-Track Designation by the FDA. Volastra is also developing new techniques to understand the biology of chromosomal instability and leveraging these insights to drive forward a preclinical pipeline of therapies against innovative targets.
Volastra is backed by top US and European venture firms such as Arch, Polaris, Vida, Droia, Catalio, and B Capital, alongside strategic investment from Eli Lilly. In addition to venture funding, Volastra has established partnerships with oncology leaders. Our senior leadership team is highly experienced, supported by a world-class advisory board.
Please visit www.volastratx.com for more information.
JOB DESCRIPTION:
We are seeking an outstanding bioinformatics and computational biology scientist to help power Volastra's discovery and translational engine. This person will build and apply rigorous analyses of genomic, transcriptomic, functional genomic, and clinical-translational datasets to identify vulnerabilities, prioritize targets, nominate biomarkers, and connect preclinical findings to patient populations.
This is a hands-on, high-impact role for someone who loves biology, writes excellent code, and can move fluently between exploratory discovery questions and decision-grade analyses. You will partner closely with discovery biologists, translational scientists, chemists, pharmacology colleagues, and the clinical team to generate insight that changes programs.
We want a scientist who is excited to use modern AI coding assistants thoughtfully. AI should accelerate pipeline scaffolding, refactoring, testing, documentation, and exploratory coding, while human judgment, validation, data security, and scientific accountability remain an utmost priority.
Volastra is a fast-paced biotech company of passionate employees, and there is ample opportunity for the ideal candidate to grow and develop with the organization. Individuals will have, from time to time, the opportunity to gain experience with projects outside their direct scope of work.
RESPONSIBILITIES:
  • Lead bioinformatics analyses across discovery sciences and translational sciences, including RNA-seq, single-cell RNA-seq, whole-exome sequencing, whole-genome sequencing, copy number, mutation, structural variant, CRISPR screen, proteomic, or other omics datasets as appropriate.
  • Develop reproducible, well-documented computational workflows for quality control, processing, feature engineering, integrated analysis, visualization, and reporting.
  • Integrate internal experimental datasets with public cancer resources such as TCGA, DepMap, CCLE, CPTAC, cBioPortal, and relevant disease-specific cohorts to prioritize targets and biomarkers.
  • Build analyses that connect cancer genotype, lineage, CIN biology, dependency, perturbation response, and therapeutic hypotheses.
  • Partner with discovery teams to design experiments, interpret results, refine hypotheses, and identify the next best biological test.
  • Support translational strategy by connecting preclinical models, patient genomics, and biomarker hypotheses. Work with clinical colleagues when analyses intersect with clinical samples, patient selection concepts, or exploratory biomarker readouts.
  • Translate complex data into clear recommendations for project teams and leadership, with concise visualizations and transparent assumptions.
  • Build durable code: modular Python and/or R packages, workflow management, data provenance, testing, version control, documentation, containers, and cloud or HPC execution.
  • Use AI coding assistants and LLM-based tools to accelerate code generation, refactoring, unit-test drafting, documentation, pipeline scaffolding, and exploratory analysis. Treat AI output as draft code that must be reviewed, tested, documented, and validated.
  • Help define technical standards for reproducible bioinformatics across the organization and mentor colleagues as appropriate.

REQUIREMENTS:
  • PhD or equivalent experience in bioinformatics, computational biology, genomics, computational oncology, systems biology, bioengineering, computer science, or a related quantitative life-science field.
  • Deep hands-on experience analyzing high-throughput sequencing data, especially transcriptomic and cancer genomic data.
  • Strong coding ability in Python and/or R, with Unix/Linux and bash proficiency.
  • Familiarity with cloud or HPC environments and scalable handling of large biological datasets.
  • Biological insight in oncology, cancer genomics, chromosomal instability, DNA damage response, synthetic lethality, targeted therapy, or drug resistance.
  • Ability to communicate complex analyses to biologists, chemists, translational scientists, clinicians, and leadership with clarity and judgment.
  • High scientific integrity, intellectual ownership, and comfort working in a fast-moving, hypothesis-driven team.
  • Experience in target discovery, biomarker discovery, patient population mapping, translational genomics, or computational oncology.
  • Experience analyzing functional genomics screens, Perturb-seq, CRISPR dependencies, cell line or organoid datasets, pharmacogenomic response data, or multi-omics perturbation studies.
  • Experience building reusable internal tools, structured analysis reports, or lightweight dashboards for project teams.
  • Familiarity with clinical genomics assay outputs and exploratory biomarker workflows.
  • Track record of collaborating with wet-lab scientists to turn computational hypotheses into experiments and decisions.
  • Experience using AI coding assistants, code agents, or LLM-based developer tools in a way that improves quality, speed, testing, and documentation.

Salary Range:
Approximately $140,000 - $180,000 which may vary depending on qualifications, experience, and ultimate leveling. Leveling outside of that stated may be considered for exceptional candidates on a case-by-case basis.

Apply