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Bioinformatics Machine Learning Jobs in Pennsylvania

The Pennsylvania State University

... quantum machine learning (QML), robotics, and/or AI-driven discovery in science and engineering (e.g., genomics, bioinformatics, drug discovery, infectious disease modeling, materials, and ...

GSK

Applied AI Engineer

Upper Providence, PA · On-site

Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as ...

The Pennsylvania State University

$19.25 - $25/hr

... Bioinformatics, Genomics/Computational Biology, Biostatistics, Data Science, Computer Science ... Experience with machine learning applications * Experience with multi-modal integration of common ...

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Bioinformatics Machine Learning information

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$94.7K

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How much do bioinformatics machine learning jobs pay per year?

As of Aug 29, 2026, the average yearly pay for bioinformatics machine learning in Pennsylvania is $94,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,700.00 and $129,800.00 per year, depending on experience, location, and employer.

What is a bioinformatics machine learning?

A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.

What are the typical daily responsibilities for someone in a bioinformatics machine learning position?

In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.

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

A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.

Do bioinformatics machine learning professionals make a lot of money?

Bioinformatics machine learning professionals often earn competitive salaries due to the specialized skills in data analysis, programming, and biological sciences. Salaries vary based on experience, education, and location, but professionals in this field typically have higher earning potential compared to many other biotech roles. Advanced knowledge of tools like Python, R, and machine learning frameworks can also influence compensation levels.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Pennsylvania?

The most popular types of Bioinformatics Machine Learning jobs in Pennsylvania are:

What are popular job titles related to Bioinformatics Machine Learning jobs in Pennsylvania?

For Bioinformatics Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Machine Learning jobs in Pennsylvania look for?

The top searched job categories for Bioinformatics Machine Learning jobs in Pennsylvania are:

Bioinformatics Machine Learning jobs near you
Infographic showing various Bioinformatics Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 18% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $94,701 per year, or $45.5 per hour.

Sr. Scientist; Bioinformatic and Translational Science

Philadelphia, PA • On-site

Fore Biotherapeutics US Inc
See more jobs at Fore Biotherapeutics US Incexternal

Full-time

Re-posted 5 hours ago

Job description

Role Summary:

Fore Bio is a next-generation precision oncology company focused on the development of plixorafenib, an investigational, novel, small-molecule, next-generation, orally available selective inhibitor of mutated BRAF.

We are seeking a highly skilled and motivated Senior Scientist to join our growing research team. The successful candidate will lead the development and application of computational tools and pipelines to analyze large-scale biological datasets, including genomics, transcriptomics, proteomics, and clinical data. This individual will play a key role in interpreting complex biological data to support drug discovery, biomarker identification, and clinical development. This role is focused on supporting biomarker discovery, patient stratification, and translational research. It is important for this individual to have knowledge in observational research, cancer biology and bioinformatics with strong statistical programming skillset, and experience managing complex analyses.

Essential Duties and Responsibilities: 

  • Lead the analysis and interpretation of multi-omics datasets to support internal research and external collaborations
  • Play a critical role in identifying and characterizing oncogenic mutations and gene fusions relevant to precision medicine 
  • Integrate public and proprietary datasets for hypothesis generation, uncovering mutation/fusion driven disease, informing drug targeting strategies, and supporting diagnostic and therapeutic development
  • Analyze large-scale biological data, such as gene expression, copy-number, mutation, methylation, next-generation sequencing and perform clinicogenomics analysis to support publications
    • Analyze translational and biomarker data for clinical-stage oncology programs with a focus on mechanism of action, target engagement, PK/PD/efficacy relationships, patient selection strategies and mechanisms of intrinsic and acquired resistance.
  • Designs, implements and executes experiments in preclinical models and generates translational datasets to inform biomarker strategy, dose and schedule optimization, patient selection, combination approaches, and mechanisms of drug response and resistance as an additional responsibility.
  • Initiate and manage contract studies with CROs
  • Collaborate with cross functional team members, CROs, data scientists, and clinicians to translate computational findings into actionable insights
  • Independently builds, aligns, and executes technical plans to achieve objectives across multiple programs
  • Impacts discovery programs through both direct and indirect contribution as a member of the project team
  • Effectively communicate study findings through internal presentations, assist in drafting conference abstracts and manuscripts for publication in peer reviewed journals.
  • Contribute to scientific publications, regulatory filings, and intellectual property
  • Stay current with advances in bioinformatics, machine learning, and relevant technologies
  • Travel up to 10% of the time, based upon program needs


Education and/or Work Experience Requirements: 

  • PhD in Bioinformatics, Computational Biology, Genomics, or related field with 3+ years of postdoctoral or industry experience; or Master’s with 7+ years of relevant experience
  • Proficiency in programming languages such as Python, R, and Bash for ‘omics analysis and data visualization
  • Deep understanding of genomics high-throughput sequencing technologies (e.g., NGS, WGS, WTS, RNA-seq, etc.) and data formats (e.g., FASTQ, BAM/CRAM, VCF, GTF)
  • Experience with cloud computing (AWS, GCP, or Azure) and workflow management tools (e.g., Nextflow, Snakemake, WDL)
  • Experience in developing analysis plans and conducting analysis for studies using large real-world observational data or with multi-omics databases.
  • Experience running bioinformatics pipelines and familiarity with bioinformatics methods and tools
  • Understanding of novel analytical or computational (machine learning) techniques and data science to integrate and mine large complex data is a plus
  • Experience working with and managing central laboratories and CROs supporting biomarker analysis or preclinical studies is preferred 
  • A strong record of outstanding technical, collaboration and communication skills
  • Strong background in tumor biology, molecular science, statistical data analysis and biological interpretation
  • Excellent written and verbal communication skills
  • Proven track record of scientific publications or impactful contributions to bioinformatics research
  • Experience in precision oncology, rare disease, immunology, or neuroscience
  • Familiarity with machine learning techniques applied to biological data
  • Experience with data visualization and dashboard tools (e.g., Shiny, Dash, Tableau)
  • Knowledge of regulatory requirements for clinical bioinformatics in a pharma or diagnostics setting
  • Highly motivated, decisive, and results-oriented individual with the flexibility and creativity to excel in and contribute to a rapidly growing company.


Remote Work Requirements

  • This is a 100% remote position. 
  • Must have a proven track record of successfully working remotely in a regulated industry.
  • Strong communication skills and the ability to collaborate virtually across departments are essential.
  • Reliable internet connection and a dedicated, distraction-free workspace are required


Fore Biotherapeutics is an Equal Opportunity Employer. As an equal opportunity employer we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.

Fore Biotherapeutics is committed to fair and equitable compensation practices and we strive to provide employees with total compensation packages that are market competitive. The exact base pay offered for this role will depend on various factors, including but not limited to the candidate’s geography, qualifications, skills and experience.

For this role the anticipated base pay range is: $130,000 - $160,000

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