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Freelance Bioinformatics Machine Learning Jobs in Secaucus, NJ

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 ...

Formation Bio

Senior Data Scientist

New York, NY · Hybrid

$177K - $232K/yr

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

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

A major component of this work will rely on applying machine learning methods to large-scale ... bioinformatics, computational biology, or other fields with strong quantitative skills will be ...

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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 16, 2026, the average hourly pay for freelance bioinformatics machine learning in Secaucus, NJ is $31.77, according to ZipRecruiter salary data. Most workers in this role earn between $12.21 and $51.35 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 job categories do people searching Freelance Bioinformatics Machine Learning jobs in Secaucus, NJ look for?

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

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

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

Freelance Bioinformatics Machine Learning jobs near you

Assistant Professor (12MO), Data Science & Analytics (Tenure-Track)

SUNY Downstate Health Sciences University

Brooklyn, NY • On-site

$110K - $127K/yr

Full-time

Re-posted 5 days ago

Job description


The Department of Epidemiology & Biostatistics in the School of Public Health at SUNY Downstate Health Sciences University is seeking a full-time Assistant Professor (12MO), Tenure-Track. The successful candidate will:
  • Demonstrate expertise in data science, analytics, and big data computational ecosystems.
  • Operate effectively within data-intensive computing environments and possess a deep working knowledge of both Python and R for data analytics and big data interfacing.
  • Demonstrate a strong background in applied machine learning, statistical modeling, and data mining.
  • Teach both online and on-campus sections of core data science training courses, as well as developing specialized emphasis areas or advanced courses
  • that align with the School's strategic focus on population health
  • and community-engaged research.
  • Contribute to the School's commitment to training the next generation of public
  • health leaders through excellence in research, service, and interdisciplinary teaching focused on improving health equity within urban and immigrant populations.

Qualifications
Required Qualifications
  • Terminal Degree (PhD, MD, ScD).
  • Ability to operate effectively within data-intensive computing environments and ecosystems, with analytic expertise in omics data and bioinformatics, and possess a deep working knowledge of machine learning, statistical modeling, and data mining.
  • Successful attainment of extramural funding and demonstrated research expertise evidenced by a substantial publication record in high quality journals.

Apply