ZipRecruiter

Log In

1

Bioinformatics Software Engineer Jobs in Pennsylvania

Integrated Resources INC

Scientist-II

Spring House, PA · On-site

The candidate must have a current knowledge of the bioinformatics scientific literature (especially ... Programming skills in Python are highly desired. * Strong communication (written and oral ...

Biomeme, Inc.

Staff Scientist

Philadelphia, PA · On-site

Collaborate with product management, hardware/software engineering, and manufacturing teams to ... Experience with automated liquid handling, high-throughput screening, or bioinformatics tools for ...

MSD

Senior Specialist, Data Science

West Point, PA · On-site

$129K - $203K/yr

D. or M.S. in Computer Science, Computational Biology, Computational Chemistry, Bioinformatics ... Prompt Engineering, Regulatory Requirements, Software Development, Stakeholder Relationship ...

The Pennsylvania State University

M.S. or PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science ... Experience with software engineering practices for research-grade code, version control (Git ...

next page

Showing results 1-20

All JobsBioinformatics Software Engineer JobsBioinformatics Software Engineer Jobs in Pennsylvania

Bioinformatics Software Engineer information

See Pennsylvania salary details

$43.1K

$131.4K

$239.1K

How much do bioinformatics software engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for bioinformatics software engineer in Pennsylvania is $131,368.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $157,400.00 per year, depending on experience, location, and employer.

What is a bioinformatics software engineer?

A Bioinformatics Software Engineer develops and maintains software tools, algorithms, and databases for analyzing biological data, such as genomic sequences and protein structures. They work at the intersection of computer science and biology, using programming languages like Python, Java, or R to process and interpret large-scale biological datasets. Their role is crucial in fields like genomics, drug discovery, and personalized medicine, where computational solutions help researchers derive meaningful insights from complex biological information.

What are the typical daily responsibilities of a bioinformatics software engineer?

As a Bioinformatics Software Engineer, your day-to-day responsibilities typically include designing, developing, and maintaining software tools or pipelines for analyzing biological data such as DNA, RNA, or protein sequences. You may collaborate closely with researchers and scientists to understand biological problems and translate them into computational solutions, reviewing and optimizing code for efficiency and scalability. Troubleshooting data processing issues, integrating new algorithms, and contributing to documentation are also common tasks. Additionally, you might participate in cross-functional meetings and keep up with emerging technologies and trends in the field.

What are the key skills and qualifications needed to thrive in the bioinformatics software engineer position, and why are they important?

To thrive as a Bioinformatics Software Engineer, you need a strong background in software development (especially with Python, R, or C++), algorithm design, and biological data analysis, usually supported by a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like NCBI or Ensembl), version control systems (such as Git), and experience with cloud computing or high-performance computing environments is highly valued. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with biologists and data scientists set candidates apart. These competencies are crucial for efficiently developing reliable software solutions that support complex biological research and data-driven discoveries.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Pennsylvania? The most popular types of Bioinformatics Software Engineer jobs in Pennsylvania are:
What are popular job titles related to Bioinformatics Software Engineer jobs in Pennsylvania? For Bioinformatics Software Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Software Engineer jobs in Pennsylvania look for? The top searched job categories for Bioinformatics Software Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Bioinformatics Software Engineer jobs? Cities in Pennsylvania with the most Bioinformatics Software Engineer job openings:
What are popular job titles related to Bioinformatics Software Engineer jobs in PA? For Bioinformatics Software Engineer jobs in PA, the most frequently searched job titles are:
Bioinformatics Software Engineer jobs near you
Infographic showing various Bioinformatics Software Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $131,368 per year, or $63.2 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Allentown, PA • Remote

$90 - $120/hr

Part-time

Posted 10 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply