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Bioinformatics Engineering Jobs in Philadelphia, PA

COOPER PEDIATRICS

SCIENTIST-CLINICAL RESEARCH

Camden, NJ · On-site

$110 - $170/hr

Proficiency in biostatistics, programming, bioinformatics skills. Strong publication record and experience in collaborating with clinicians and mentoring trainees. Track record of external grant ...

New

Iff

AI & Data Scientist

Wilmington, DE

Bachelor's degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry, Biotechnology, Engineering or a related field. * At least five years of experience in data science ...

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Showing results 21-40

All JobsBioinformatics Engineering JobsBioinformatics Engineering Jobs in Philadelphia, PA

Bioinformatics Engineering information

See Philadelphia, PA salary details

$43.4K

$132.2K

$240.7K

How much do bioinformatics engineering jobs pay per year?

As of Sep 7, 2026, the average yearly pay for bioinformatics engineering in Philadelphia, PA is $132,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $158,400.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics 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 EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What are popular job titles related to Bioinformatics Engineering jobs in Philadelphia, PA?

For Bioinformatics Engineering jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Engineering jobs in Philadelphia, PA look for?

The top searched job categories for Bioinformatics Engineering jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Bioinformatics Engineering jobs?

Cities near Philadelphia, PA with the most Bioinformatics Engineering job openings:

Bioinformatics Engineering jobs near you
Infographic showing various Bioinformatics Engineering job openings in Philadelphia, PA 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 $132,244 per year, or $63.6 per hour.

Associate Scientist, Computational Biology

Cabaletta Bio Inc.

Philadelphia, PA • On-site

Full-time

PTO

Posted 9 days ago

Job description

Position Title: Associate Scientist, Computational Biology

Location: Hybrid/Philadelphia, PA

Reports to: Scientist, Computational Biology

Department: Research - Computational Biology

Cabaletta Bio (Nasdaq: CABA) is a late-stage clinical biotechnology company focused on developing and launching curative targeted cell therapies designed specifically for patients with autoimmune diseases. The CABA platform encompasses two complementary strategies which aim to advance the discovery and development of engineered T cell therapies with the potential to become deep and durable, perhaps curative, treatments for a broad range of autoimmune diseases. The lead CARTA (Chimeric Antigen Receptor T cells for Autoimmunity) strategy is prioritizing the development of rese-cel, a 4-1BB-containing fully human CD19-CAR T cell investigational therapy. Rese-cel is currently being evaluated in the RESET (REstoring SElf-Tolerance) clinical development program spanning multiple therapeutic areas, including rheumatology, neurology and dermatology. Cabaletta Bio's headquarters and labs are located in Philadelphia, PA. For more information, please visit www.cabalettabio.com and connect with us on LinkedIn.

Uniquely Differentiated. Rapid. Elegant.

At Cabaletta, we are driven by the shared mission of developing cures, where a patients' own cells are used to fight disease. We are building a culture grounded in the knowledge that successful cures can be achieved for patients if every member of the Cabaletta is focused on the success of the team. To nurture this, we make an active commitment to the well-being and continuous growth of each employee who joins the team. In this way, we are not only working to improve the lives of patients, but of everyone involved. #CabalettaCrew. 

We're proud to be a Great Place to Work-Certified company! #GPTWcertified Check out what our employees say makes working here so great:  Working at Cabaletta Bio Inc | Great Place to Work

About the Position:

The Associate Scientist, Computational Biology will build and maintain programmatic and agentic workflows that clean, transform, and merge large, feature-rich datasets - primarily flow cytometry, MSD, and dPCR data - into analysis-ready information. Working under the guidance of senior computational biology staff, they will collaborate with Research, Translational, Manufacturing, and Clinical teams to visualize and correlate data across the organization, surface key scientific questions, and communicate clear summaries of their analyses to stakeholders.

Responsibilities:

  • Design, build, and maintain programmatic and agentic workflows to support recurring computational biology tasks, including cleaning, transforming, and merging large-scale biological datasets with many features.
  • Mine public and internal databases for relevant biological and disease-related information.
  • Develop and automate interactive data visualizations and dashboards.
  • Perform correlative analyses and produce clear, intuitive summary reports of data exploration and analyses for scientific and non-scientific audiences.
  • Communicate results and recommendations to stakeholders, including scientific colleagues and collaborators.
  • Maintain thorough documentation of workflows and analytical methods in accordance with SOPs.

Required Qualifications:

  • MS in computational biology, bioinformatics, computer science, or a related field plus 1-2 years of relevant experience; or a BS with additional demonstrated experience in computational and programmatic analysis of biological data.
  • Strong foundation in computer science, statistics, mathematics, and biology.
  • Proficient in Python, with experience building automated scripts or pipelines.
  • Demonstrated ability to integrate, mine, analyze, visualize, and interpret data using computational and statistical tools.
  • Meticulous and detail-oriented, with the ability to follow complex operating procedures (SOPs) and thoroughly document work.
  • Strong team orientation and a passion for continuous self-development.

Preferred Qualifications:

  • Experience designing agentic or LLM-driven workflows - whether through structured instructions/prompts, orchestration frameworks (e.g., LangChain, AutoGen), or direct API integrations.
  • Familiarity with software engineering best practices (e.g., version control/Git, code review, testing).
  • Familiarity with cloud computing environments (AWS, GCP, or Azure) and workflow orchestration tools (e.g., Airflow, Nextflow).
  • Experience with data analysis and machine learning techniques.
  • Experience with traditional bioinformatics analysis (e.g., genomic, transcriptomic, or proteomic data) and multi-omics data integration.
  • Experience in an industry or startup setting is preferred.

 

Our name - Cabaletta - is derived from the operatic term that represents a rapid, repetitive, and technically challenging section of an operatic aria, designed to showcase the skills of the lead singer. Analogously, Cabaletta Bio strives to achieve rapid and repetitive product development, building on our indication prioritization and biologic platform that targets the driver of specific autoimmune diseases without the need for long-term immunosuppression.

For more information, please visit  https://www.cabalettabio.com/join-our-crew

Our most important asset is our people, and we offer competitive benefits, PTO, and stock option plans.

Cabaletta Bio is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability, protected veteran status or any other basis protected by applicable law.

Cabaletta Bio, Inc. does not accept unsolicited resumes from recruiters, employment agencies, or staffing firms. To conduct business with Cabaletta, a Master Services Agreement (MSA) must be executed and confirmed prior to submitting any information relating to a potential candidate. Without a signed MSA, Cabaletta shall not be responsible to any individual or entity for any payment relating to any form of fee or compensation.

And, if a resume or candidate is submitted by a recruiter, an employment agency, or a staffing firm without a fully executed MSA, Cabaletta has the unrestricted right to pursue and hire any of those candidate(s) without any legal or financial responsibility to the recruiter, agency, and/or firm.

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