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Freelance Bioinformatics Machine Learning Jobs in New York

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 ...

New York University

Post Doctorate Associate

New York, NY · On-site

$65K - $80K/yr

Qualifications Candidates should have a PhD in computational biology, bioinformatics, microbiology ... machine learning is a plus. Strong written and oral communication skills, interdisciplinary ...

New York University

Post Doctorate Associate

New York, NY · On-site

$65K - $80K/yr

Qualifications Qualifications Candidates should have a PhD in computational biology, bioinformatics ... machine learning is a plus. Strong written and oral communication skills, interdisciplinary ...

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Freelance Bioinformatics Machine Learning information

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 New York?

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

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

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The top searched job categories for Freelance Bioinformatics Machine Learning jobs in New York are:

What cities in New York are hiring for Freelance Bioinformatics Machine Learning jobs?

Cities in New York with the most Freelance Bioinformatics Machine Learning job openings:

Freelance Bioinformatics Machine Learning jobs near you

Assistant Professor (12MO), Biostatistics

SUNY Downstate Health Sciences University

New York, NY • On-site

Full-time

Re-posted 9 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). The successful candidate will: Teach biostatistics courses to masters and doctoral students.

Mentor Master of Public Health and doctoral students.

Provide biostatistics support to faculty in the School of Public Health and across Downstate Health Sciences University.

Engage in a focused area of research.

Required Qualifications

  • Terminal degree, PhD, MD, ScD.
  • Experience in teaching Data Science courses, program development, and developing and managing biostatistical support at the institutional level.
  • Experience with data display; spatial analysis and modeling; statistical methods for hierarchical data; longitudinal repeated-measures data; complex survey data; mixed-methods data; quasi-experimental research designs; causal inference methods such as propensity score matching methods, and structural equation models; non-parametric and semi parametric methods; statistical learning methods for prediction and classification; and/or big data analytic expertise in-omics data, imaging data, bioinformatics, and electronic health records data.
  • Expertise in machine learning and Al approaches to public health research is also desirable.
  • Successful attainment of extramural funding and demonstrated research expertise, as evidenced by a substantial publication record in high-quality journals.
  • Or, a satisfactory equivalent combination of experience, education and training to the above.

Apply