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Freelance Bioinformatics Machine Learning Jobs in Philadelphia, PA

MSD

Senior Specialist, Data Science

West Point, PA

$129K - $203K/yr

This role will combine advanced machine learning, foundation model engineering, and domain ... D. or M.S. in Computer Science, Computational Biology, Computational Chemistry, Bioinformatics ...

Iff

AI & Data Scientist

Wilmington, DE

Develop and implement data science, machine learning and artificial intelligence solutions that ... Bachelor's degree in Data Science, Computer Science, Data Engineering, Bioinformatics, Biochemistry ...

Jj

Senior Scientist, Modeler

Malvern, PA · On-site

Develop mechanistic, statistical, hybrid, and/or machine learning models that translate complex ... bioinformatics, data science, applied mathematics, or a related discipline, with at least 4 years ...

New

Jj

Senior Scientist, Modeler

Spring House, PA · On-site

Develop mechanistic, statistical, hybrid, and/or machine learning models that translate complex ... bioinformatics, data science, applied mathematics, or a related discipline, with at least 4 years ...

New

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Freelance Bioinformatics Machine Learning information

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How much do freelance bioinformatics machine learning jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for freelance bioinformatics machine learning in Philadelphia, PA is $31.53, according to ZipRecruiter salary data. Most workers in this role earn between $12.12 and $50.96 per hour, depending on experience, location, and employer.

What does a freelance bioinformatics machine learning specialist do?

A Freelance Bioinformatics Machine Learning specialist applies machine learning techniques to analyze biological data, such as genomics, proteomics, and medical records, on a project-by-project basis. They typically work independently with research labs, biotech companies, or healthcare organizations to develop algorithms, build predictive models, and interpret complex biological datasets. Their work helps drive insights in areas like drug discovery, personalized medicine, and disease prediction, often leveraging tools like Python, R, and specialized bioinformatics software. As freelancers, they have the flexibility to choose projects, set their schedules, and work remotely.

What are the key skills and qualifications needed to thrive as a freelance bioinformatics machine learning specialist?

To thrive as a Freelance Bioinformatics Machine Learning Specialist, you need a strong background in biology, statistics, and programming (such as Python or R), typically supported by a relevant degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), machine learning libraries (scikit-learn, TensorFlow), and experience with cloud computing platforms are highly valuable. Strong problem-solving, communication, and project management skills help distinguish top freelancers in this field. These capabilities are crucial for independently delivering accurate, actionable biological insights to clients and efficiently managing multiple projects.

What are some common challenges freelance bioinformatics machine learning professionals face when working with multiple clients?

Freelance bioinformatics machine learning professionals often encounter challenges such as managing diverse data formats, aligning project expectations, and ensuring data privacy across multiple clients. Each client may have unique datasets, varying levels of documentation, and different computational infrastructure, requiring adaptability and strong communication skills. Balancing multiple deadlines and maintaining clear, consistent reporting are also important to foster trust and long-term collaborations.

What is the difference between Freelance Bioinformatics Machine Learning vs Freelance Data Scientist?

AspectFreelance Bioinformatics Machine LearningFreelance Data Scientist
CredentialsBackground in bioinformatics, biology, or related fields; knowledge of machine learningBackground in statistics, computer science, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic projects, freelance consultingVarious industries including finance, tech, healthcare, consulting
Industry UsagePrimarily biotech, healthcare, genomics, pharmaceutical sectorsBroad industry application including finance, marketing, tech, healthcare

Freelance Bioinformatics Machine Learning specialists focus on applying machine learning techniques to biological data, often working within biotech and healthcare sectors. In contrast, Freelance Data Scientists have a broader scope, working across multiple industries with diverse datasets. Both roles require strong analytical skills and programming expertise, but their industry focus and domain knowledge differ significantly.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Philadelphia, PA?

The most popular types of Bioinformatics Machine Learning jobs in Philadelphia, PA are:

What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Philadelphia, PA?

For Freelance Bioinformatics Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Freelance Bioinformatics Machine Learning jobs in Philadelphia, PA look for?

The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities near Philadelphia, PA with the most Freelance Bioinformatics Machine Learning job openings:

Freelance Bioinformatics Machine Learning jobs near you

Sr. Scientist; Bioinformatic and Translational Science

Fore Biotherapeutics US Inc

Philadelphia, PA • On-site

Full-time

Posted 15 days 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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