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From Home Python Bioinformatics Jobs in Newark, NJ

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · On-site

$165K - $228K/yr

Apply methods from machine learning, statistics, causal inference, optimization, and economics to ... Strong Python experience across exploratory data analysis, predictive modeling, and applied machine ...

New York University

Post Doctorate Associate

New York, NY · On-site

$65K - $80K/yr

Strong programming skills in Python and/or R are required. Experience with the analysis of multi ... derived from the diet, such as short-chain fatty acids, branch-chain fatty acids, or protein ...

New York University

Post Doctorate Associate

New York, NY · On-site

$65K - $80K/yr

Qualifications Qualifications Candidates should have a PhD in computational biology, bioinformatics ... Strong programming skills in Python and/or R are required. Experience with the analysis of multi ...

Ramp

Senior Applied Scientist, Credit Risk

Manhattan, NY · On-site

$120 - $160/hr

Apply methods from machine learning, statistics, causal inference, optimization, and economics to ... Strong Python experience across exploratory data analysis, predictive modeling, and applied machine ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

A postdoctoral position in bioinformatics/Biostatistics/data science is available at the Icahn ... A superior academic performance, proficiency in R, Python, experience with handling of Big Data and ...

DEX Labs

Rust Engineer

New York, NY · On-site +1

Proactively improve our Rust, TypeScript, Python, or Solidity codebase * Write the kind of ... H set-up * Unlimited time off

DEX Labs

Rust Engineer

New York, NY · On-site +1

Proactively improve our Rust, TypeScript, Python, or Solidity codebase * Write the kind of ... Comprehensive health, dental, and vision insurance in the US * Work from anywhere - including a ...

Formation Bio

Principal Data Scientist

New York, NY · On-site

$204K - $267K/yr

... from developing sophisticated models for patient selection to creating AI-powered solutions for ... Python * Extensive experience in multi-modal bioinformatics analysis Preferred Qualifications

De Circle

Steakhouse Finance - Senior Engineer

New York, NY · On-site +1

$114K - $157K/yr

Develop and scale production-grade Python systems * Build tooling, automation, monitoring, and ... Work-from-home stipend * Opportunity to work on high-impact DeFi infrastructure * Team offsites ...

Quant Blueprint LLC

Quant Engineer - Python

Manhattan, NY · On-site

$165 - $300/hr

Can research and implement decision logic in various quantitative frameworks, ranging from utility ... Flexible in‑office days with budget for home office setup Compensation The base pay for this role ...

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All JobsPython Bioinformatics JobsFrom Home Python Bioinformatics JobsFrom Home Python Bioinformatics Jobs in Newark, NJ

From Home Python Bioinformatics information

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How much do from home python bioinformatics jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for from home python bioinformatics in Newark, NJ is $61.30, according to ZipRecruiter salary data. Most workers in this role earn between $50.53 and $69.62 per hour, depending on experience, location, and employer.

What is a from home Python bioinformatics job?

A From Home Python Bioinformatics job involves working remotely to analyze and interpret biological data using Python programming. Professionals in this role apply computational techniques to solve problems in genomics, proteomics, and other areas of biology. They often write scripts or develop software to process large datasets, automate workflows, and visualize results for scientific research. These jobs typically require knowledge of both biology and computer science, as well as experience with relevant bioinformatics tools and libraries. Remote positions allow for flexible work arrangements, making it possible to collaborate with research teams from anywhere.

What are the key skills and qualifications needed to thrive as a from home Python bioinformatics professional?

To thrive as a From Home Python Bioinformatics professional, you need strong programming skills in Python, a solid background in biology or bioinformatics, and at least a bachelor's degree in a related field. Familiarity with bioinformatics tools (such as Biopython, BLAST, and genome analysis platforms), version control systems like Git, and relevant data analysis libraries is crucial. Excellent problem-solving abilities, attention to detail, and self-motivation are essential soft skills for managing complex projects independently. These competencies enable effective analysis of biological data, accurate interpretation of results, and efficient collaboration in remote or distributed research environments.

How do remote Python bioinformaticians typically collaborate with research teams and manage project communication?

Remote Python bioinformaticians often work closely with cross-functional teams, including biologists, data scientists, and clinicians, using digital collaboration tools like Slack, Zoom, and project management platforms to maintain clear communication. Regular virtual meetings and code-sharing via platforms like GitHub help ensure alignment on project goals and data analysis methods. Effective documentation and timely updates are essential for overcoming the challenges of remote teamwork, especially when projects involve large datasets or complex pipelines. Building strong communication habits and proactively seeking feedback are key to succeeding in this remote, collaborative environment.

What is the difference between From Home Python Bioinformatics vs From Home Data Scientist?

AspectFrom Home Python BioinformaticsFrom Home Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fields; Python programming skillsBachelor's or Master's in Data Science, Computer Science, or related fields; Python and statistical skills
Work EnvironmentRemote, often in research labs, biotech companies, or academic settingsRemote, in tech companies, finance, healthcare, or consulting firms
Industry UsageBiotech, healthcare, academic researchTechnology, finance, marketing, healthcare

From Home Python Bioinformatics and From Home Data Scientist roles share common skills like Python programming and remote work settings. However, bioinformatics focuses on biological data analysis, while data science covers a broader range of industries and data types. Your choice depends on your industry interest and specific skill set.

What cities near Newark, NJ are hiring for From Home Python Bioinformatics jobs?

Cities near Newark, NJ with the most From Home Python Bioinformatics job openings:

From Home Python Bioinformatics jobs near you

Scientist/Senior Scientist, Computational Biology

Volastra Therapeutics

New York, NY • On-site

$100K - $136K/yr

Full-time

Re-posted 26 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.

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