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Bioinformatics Data Engineer Jobs in Valhalla, NY

Senior Data Scientist

New York, NY ยท Hybrid

$177K - $232K/yr

About the Position As a Senior Data Scientist at Formation Bio, you will be at the forefront of ... programming skills, particularly in Python * Extensive experience in multi-modal bioinformatics ...

About the Position As a Principal Data Scientist at Formation Bio, you will be at the forefront of ... programming skills, particularly in Python * Extensive experience in multi-modal bioinformatics ...

Senior Data Scientist

New York, NY ยท On-site

$177K - $232K/yr

About the Position As a Senior Data Scientist at Formation Bio, you will be at the forefront of ... programming skills, particularly in Python * Extensive experience in multi-modal bioinformatics ...

Job Title: Applied AI Engineer Duration: 6-12 months contract to hire Location: NYC or San ... data or other types of noisy and heterogenous datasets * Experience with ML-centric bioinformatics ...

Post Doctorate Associate

New York, NY ยท On-site

$65K - $80K/yr

... data integration, bioinformatic method development, and translational human studies. Specific ... Strong programming skills in Python and/or R are required. Experience with the analysis of multi ...

Post Doctorate Associate

New York, NY ยท On-site

$65K - $80K/yr

... data integration, bioinformatic method development, and translational human studies. Specific ... Strong programming skills in Python and/or R are required. Experience with the analysis of multi ...

Showing results 41-60

Bioinformatics Data Engineer information

See Valhalla, NY salary details

$44.9K

$136.7K

$248.8K

How much do bioinformatics data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for bioinformatics data engineer in Valhalla, NY is $136,703.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,100.00 and $163,800.00 per year, depending on experience, location, and employer.

What is a bioinformatics data engineer?

A Bioinformatics Data Engineer is a professional who designs, develops, and maintains data infrastructure for managing and analyzing large-scale biological data, such as genomics or proteomics datasets. They build pipelines and tools to process, store, and retrieve complex biological information efficiently. Their work enables researchers and scientists to access and interpret data for discoveries in fields like medicine, genetics, and biotechnology. Often, they collaborate closely with bioinformaticians, data scientists, and software engineers to support research initiatives.

How do bioinformatics data engineers typically collaborate with researchers and other teams in a biomedical organization?

Bioinformatics Data Engineers often work closely with biologists, data scientists, and software engineers to ensure the effective collection, processing, and analysis of complex biological data. They regularly participate in cross-functional meetings to understand research goals, develop data pipelines, and troubleshoot data-related issues. Collaboration is essential, as engineers must translate scientific requirements into technical solutions, provide data access and visualization tools, and support researchers in extracting meaningful insights from large datasets. This teamwork fosters a dynamic environment where communication and adaptability are key.

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

To thrive as a Bioinformatics Data Engineer, you need a strong background in computer science, biology, and statistics, often supported by a relevant degree and experience in data engineering. Proficiency with programming languages (such as Python, R, or SQL), bioinformatics tools, cloud platforms, and big data frameworks (like Hadoop or Spark) is typically required. Strong problem-solving, collaboration, and communication skills help you work effectively across interdisciplinary teams and convey complex findings. These skills ensure accurate analysis, efficient data pipeline development, and meaningful insights that advance biological research and healthcare solutions.

What is the difference between Bioinformatics Data Engineer vs Bioinformatics Analyst?

AspectBioinformatics Data EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentData pipelines, database management, software developmentData interpretation, report generation, biological data analysis
Employer & Industry UsageBiotech companies, research labs, pharmaResearch institutions, healthcare, biotech
Common Search & ComparisonFocuses on data infrastructure and pipelinesFocuses on biological data interpretation

The main difference between a Bioinformatics Data Engineer and a Bioinformatics Analyst lies in their focus areas. Data Engineers build and maintain data pipelines and infrastructure, while Analysts interpret biological data to generate insights. Both roles require strong bioinformatics knowledge, but Data Engineers emphasize programming and data management, whereas Analysts focus on biological interpretation and reporting.

What job categories do people searching Bioinformatics Data Engineer jobs in Valhalla, NY look for?

The top searched job categories for Bioinformatics Data Engineer jobs in Valhalla, NY are:

What cities near Valhalla, NY are hiring for Bioinformatics Data Engineer jobs?

Cities near Valhalla, NY with the most Bioinformatics Data Engineer job openings:

Senior Data Scientist

Formation Bio

New York, NY โ€ข Hybrid

$177K - $232K/yr

Full-time

Re-posted 5 days ago


Job description

About the Position

As a Senior Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives.ย 

Responsibilities

  • Lead and execute complex data science projects that directly advance our drug development portfolioย 
  • Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
  • Design and create AI models for modernizing clinical trial evaluations, including surrogate endpointsย 
  • Aid in the development and training of AI agents to automate and optimize biomedical workflowsย 
  • Collaborate cross-functionally with clinical, technical, and research teamsย 
  • Present complex analytical findings to senior stakeholders, including executive leadershipย 

About You

Required Qualificationsย 

  • PhD in computational sciences or life sciencesย 
  • 3+ years of post-academic experience in life sciences (biotech, pharma, consulting)ย 
  • Strong programming skills, particularly in Pythonย 
  • Extensive experience in multi-modal bioinformatics analysisย 

Preferred Qualificationsย 

  • Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databasesย 
  • Strong background in machine learning and deep learning, particularly in biological applicationsย 
  • Experience with large language models (LLM)
  • Demonstrated ability to collaborate effectively with engineering teams on production systems
  • Strong communication skills with proven ability to present complex technical findings to senior stakeholdersย 

Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate.

Compensation:

The target salary range for this role is: $177,500 - $232,000.

Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you.

You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.


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