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Bioinformatics Project Manager Jobs in New York (NOW HIRING)

Quest Diagnostics

Lead Bioinformatics Engineer

Secaucus, NJ · On-site

$155K - $175K/yr

Work with project management and report on progress, analyze risks and escalate issues to ensure ... Knowledge of bioinformatics tools and workflow managers for sequencing data analysis and quality ...

IBX

Bioinformatician III

Piscataway, NJ · On-site +1

Work closely with clients and project managers to understand and help accomplish their research goals and provide consultation on best bioinformatics methodology options. Integrate different types of ...

IBX

Bioinformatician III

Piscataway, NJ · On-site

... and project managers to understand and help accomplish their research goals and provide consultation on best bioinformatics methodology options. • Integrate different types of genomics data and ...

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Bioinformatics Project Manager information

What does a bioinformatics project manager do?

A Bioinformatics Project Manager oversees and coordinates projects that involve the analysis and interpretation of biological data using computational tools. They manage multidisciplinary teams, set project goals and timelines, allocate resources, and ensure that deliverables meet scientific and technical standards. Their role bridges the gap between research scientists, bioinformaticians, and stakeholders, ensuring effective communication and project success. They also help manage data, budgets, and compliance with regulatory or ethical standards.

How does a bioinformatics project manager typically coordinate interdisciplinary teams to ensure project success?

As a Bioinformatics Project Manager, you will frequently coordinate teams comprising bioinformaticians, software developers, biologists, and data analysts. Success in this role relies on facilitating clear communication, aligning project goals, and setting realistic timelines while understanding the technical needs of each discipline. You’ll often manage regular progress meetings, resolve cross-functional challenges, and ensure that deliverables meet both scientific standards and stakeholder expectations. This collaborative environment encourages continuous learning and provides exposure to cutting-edge research, making it a dynamic and rewarding position.

What are the key skills and qualifications needed to thrive as a bioinformatics project manager, and why are they important?

To thrive as a Bioinformatics Project Manager, you need a strong background in bioinformatics or computational biology, project management experience, and typically a relevant advanced degree. Familiarity with bioinformatics tools, databases, programming languages (such as Python or R), and project management software like Jira is essential. Exceptional organizational, leadership, and communication skills help coordinate interdisciplinary teams and manage stakeholder expectations. These competencies are critical to effectively oversee complex projects, ensure timely delivery, and bridge the gap between scientific and technical teams.

What cities in New York are hiring for Bioinformatics Project Manager jobs?

Cities in New York with the most Bioinformatics Project Manager job openings:

Infographic showing various Bioinformatics Project Manager job openings in New York as of August 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Bioinformatics Analyst

Bronx, NY • On-site

Albert Einstein College of Medicine
See more jobs at Albert Einstein College of Medicineexternal

Full-time

Re-posted 8 days ago

Job description

About Us
We are seeking a highly motivated Bioinformatics Analyst to join the research group of Dr. Robert Burk at Albert Einstein College of Medicine. Our group conducts molecular epidemiology and microbiome research with an emphasis on the human microbiome (cervicovaginal, oral, and gut) and HPV-related neoplasia. This role is central to translating large-scale sequencing datasets into rigorous, publication-ready results with direct relevance to chronic disease, cancer prevention and infectious disease research. Our work has been published in high-impact journals such as Nature Communications and Cell. The ideal candidate is an independent problem solver who is comfortable taking ownership of analysis workstreams, building and maintaining reproducible pipelines, and driving projects forward from raw data to interpretable outputs. They should be collaborative, communicate clearly with wet lab and epidemiology teams, and proactively propose analytic approaches that strengthen the science and accelerate progress.
POSITION RESPONSIBILITIES
  • Pipeline development and leadership: Design, implement, document, and maintain end-to-end NGS pipelines for microbiome and HPV genomics applications (e.g., 16S/ITS1 amplicon sequencing, shotgun metagenomics, viral/HPV sequencing, bisulfite sequencing, and viral integration analyses).
  • Large-scale data processing: Perform robust QC, read processing, reference alignment, taxonomic and functional profiling, strain-level analyses where appropriate, and reproducible reporting for cohort-scale datasets.
  • Clinical and epidemiologic integration: Harmonize sequencing outputs with clinical and epidemiologic metadata (including complex longitudinal designs), perform data cleaning and validation, and generate analysis-ready tables.
  • Statistical and computational analysis: Conduct and interpret statistical analyses using R and/or Python, including microbiome-specific methods (alpha/beta diversity, ordination, PERMANOVA, differential abundance) and epidemiologic modeling (regression and related approaches), with publication-quality visualizations.
  • Project leadership and communication: Lead defined analysis workstreams, set realistic milestones, communicate risks and dependencies early, and present progress and results in lab meetings and to collaborators.
  • Troubleshooting and optimization: Diagnose and resolve complex issues (pipeline failures, batch effects, contamination artifacts, inconsistent metadata, compute bottlenecks). Improve robustness, scalability, and runtime efficiency on shared compute environments.
  • Reproducibility and best practices: Use version control (Git), structured documentation, and reproducible execution practices (workflow managers and/or containerization when appropriate). Maintain clear provenance from raw data to results.
  • Scientific contribution: Propose fresh analytic ideas, evaluate new tools and methods, and contribute to interpretation and narrative framing of findings.
  • Manuscripts and grants: Contribute figures, methods text, and analyses for manuscripts and grant applications.

QUALIFICATIONS
Required:
  • Bachelor's degree in bioinformatics, computational biology, biostatistics, epidemiology, computer science, or a related field; Master's or PhD preferred.
  • Strong programming ability in R and/or Python, plus comfort working in a Unix/Linux environment (shell scripting, HPC-style workflows).
  • Demonstrated experience processing and analyzing NGS data, including building or extending pipelines rather than only running existing ones.
  • Solid understanding of basic statistical concepts and the ability to translate scientific questions into appropriate analyses.
  • Track record of independent problem solving, attention to detail, and producing reliable, well-documented outputs.
  • Strong communication skills and a collaborative mindset for working with interdisciplinary teams.

Preferred:
  • Experience in microbiome bioinformatics (16S, ITS1, shotgun metagenomics) and/or viral genomics with familiarity with phylogenetics, or integration-related analyses.
  • Experience working with protected clinical or epidemiologic data and with best practices for data security and governance.
  • Experience analyzing large cohorts and handling confounding, batch effects, and complex study designs (longitudinal, nested case-control, matched studies).
  • Comfort translating analyses into clear figures, methods, and results text suitable for high-impact manuscripts

Practical Experience: The candidate is expected to have practical experience with bioinformatics work (handling NGS reads off the machine, etc.) and be willing and eager to adapt to new approaches. This role will be facilitated with a proactive attitude towards learning and applying new bioinformatics methods and technologies.
Additional Information
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below. Albert Einstein College of Medicine considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.
Maximum Salary Range
USD $65,000.00/Yr.

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