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Freelance Bioinformatics Machine Learning Jobs in Newark, NJ

Ramp

Senior Applied Scientist, Credit Risk

Manhattan, NY · On-site

$120 - $160/hr

... Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. * 5+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Our primary focus is the analysis of high-dimensional biomedical data integrating statistical modelling, bioinformatics and machine learning to develop predictive models of diagnosis and prognosis ...

Formation Bio

Principal Data Scientist

New York, NY

$204K - $267K/yr

... bioinformatics analysis Preferred Qualifications * Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases * Strong background in machine learning ...

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

As of Sep 3, 2026, the average hourly pay for freelance bioinformatics machine learning in Newark, NJ is $32.68, according to ZipRecruiter salary data. Most workers in this role earn between $12.55 and $52.79 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 Newark, NJ?

The most popular types of Bioinformatics Machine Learning jobs in Newark, NJ are:

What are popular job titles related to Freelance Bioinformatics Machine Learning jobs in Newark, NJ?

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

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

The top searched job categories for Freelance Bioinformatics Machine Learning jobs in Newark, NJ are:

What cities near Newark, NJ are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities near Newark, NJ with the most Freelance Bioinformatics Machine Learning job openings:

Freelance Bioinformatics Machine Learning jobs near you

Senior Software Engineer, Genomics

Simons Foundation

Manhattan, NY • On-site

$160 - $200/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

POSITION SUMMARY

The Center for Computational Biology (CCB) is seeking an experienced senior software engineer to join a growing team of developers within CCB and the other centers across the Flatiron Institute who help build and maintain HumanBase . HumanBase is a dynamic and interactive web-based platform that supports thousands of biomedical researchers in exploring the molecular mechanisms of human disease. This position is ideal for an experienced engineer with bioinformatics experience who thrives on solving complex problems at the intersection of large-scale data, pipeline building, advanced analytics, and scientific discovery. This is a high-impact role that directly advances the study of human genomics and disease. The successful candidate will collaborate closely with researchers at the Center for Computational Biology to translate cutting‑edge computational biology research into scalable production systems and data pipelines that power HumanBase. This is a hands‑on backend role for an experienced engineer with expertise in biological data, genomics, and -omics technologies. They will also have experience processing large‑scale -omics datasets, maintaining production software systems, designing and optimizing data‑intensive pipelines, and supporting machine learning workflows in scientific computing environments. This is a full‑time position based in the Simons Foundation offices in New York City.

ESSENTIAL FUNCTIONS/RESPONSIBILITIES
  • Contribute to the design, architecture, and implementation of new HumanBase features and major infrastructure improvements
  • Translate research-stage computational methods into robust, maintainable, and reproducible production software and data pipelines
  • Design, develop, and optimize scalable genomics and biomedical data processing pipelines that ingest, normalize, and transform heterogeneous datasets
  • Integrate machine learning and statistical methods into production workflows for analysis of complex biological datasets
  • Apply software engineering best practices, including code review, testing, version control, documentation, CI/CD, and deployment automation
  • Collaborate closely with computational biologists, data scientists, and external partners to align engineering efforts with scientific and platform goals
  • Evaluate and adopt emerging technologies in bioinformatics, cloud infrastructure, and scientific computing where appropriate to improve platform capabilities and performance
  • Contribute to operational support, maintenance, and continuous improvement of production systems supporting HumanBase
  • Perform other duties or tasks as assigned orrequired
MINIMUM QUALIFICATIONS
  • Education: B.S. in Computer Science, Software Engineering, Bioinformatics, or a related technical field
  • Experience: At least 8 years of professional software engineering experience, including work on production systems and data-intensive applications
  • Demonstrated ability to collaborate effectively with interdisciplinary teams of different technical and scientific backgrounds
  • Extensive experience with Python, including development of complex data pipelines and use of applicable software libraries
  • Experience working with large, heterogeneous biological datasets in Python (HDF5, Parquet, PyArrow, xarray) —ideally in genomics or biomedical contexts
  • Experience building and operating distributed compute workflows and orchestration systems (e.g., Celery, Dask, SLURM, Nextflow, Snakemake) for large-scale genomic or biomedical data processing
  • Strong experience with relational databases such as PostgreSQL or MySQL, including schema design and query optimization
  • Experience with containerization and cloud-native infrastructure technologies such as Docker and Kubernetes
  • Familiarity with machine learning frameworks and tools, including scikit‑learn and PyTorch
  • Demonstrated experience with the full software development lifecycle (SDLC), including testing, CI/CD, version control, and deployment
  • Background working in computational biology, bioinformatics, or a related field, with experience developing software that supports biological research
RELATED SKILLS & OTHER REQUIREMENTS
  • Excellent communication skills, with the ability to engage technical and non-technical audiences, including senior leadership
  • Strong cross‑functional collaboration skills, with a track record of working effectively with non-engineering stakeholders to translate needs into software solutions
  • Deep curiosity about science and a passion for building tools that empower scientific discovery
PREFERRED QUALIFICATIONS
  • Advanced degree in Computer Science, Engineering, Bioinformatics, or a related field
  • Expertise in bioinformatics, including experience with genomic data processing, analysis pipelines, and related computational methods
  • Familiarity with AWS or other major cloud platforms
  • Experience with high-performance computing (HPC) environments
COMPENSATION AND BENEFITS
  • The full‑time annual compensation range for this position is $160,000-$200,000 depending on experience
  • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package
  • Our Commitment to Expanding Pathways to Science & Opportunities for All: Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences
  • The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world
  • As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers
  • The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law
Salary and Benefits
  • In addition to competitive salaries, the Simons Foundation provides employees with an outstanding benefits package
  • Our Commitment to Expanding Pathways to Science & Opportunities for All: Many of the greatest ideas and discoveries come from a diverse mix of minds, backgrounds, and experiences
  • The Simons Foundation is committed to advancing basic science and mathematics to benefit humankind and expand our collective understanding of our world
  • As part of our mission, we support partners, programs, and initiatives that seek to broaden the scientific community and open pathways to science and mathematics careers
  • The Simons Foundation provides equal opportunities to all applicants without regard to race, religion, color, age, sex, pregnancy, national origin, sexual orientation, gender identity, genetic disposition, neurodiversity, disability, veteran status, or any other protected category under federal, state, and local law
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