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Freelance Bioinformatics Machine Learning Jobs in Connecticut

Iberdrola

Engineer - GEN AI

Orange, CT · On-site

The AI engineer is an expert in machine learning, deep learning, and data analysis and creates intelligent systems that automate processes, improve efficiency, and drive business innovation. Key ...

All JobsBioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning JobsFreelance Bioinformatics Machine Learning Jobs in Connecticut

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, and why are they important?

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 Connecticut? The most popular types of Bioinformatics Machine Learning jobs in Connecticut are:
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What cities in Connecticut are hiring for Freelance Bioinformatics Machine Learning jobs? Cities in Connecticut with the most Freelance Bioinformatics Machine Learning job openings:
Freelance Bioinformatics Machine Learning jobs near you

Bioinformatics Scientist, Translational Oncology

SEMA4

Stamford, CT • On-site

Full-time

Re-posted 26 days ago

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
We are looking for a talented Bioinformatics Scientist, Translational Oncology to lead and support projects that translate genomic results and/or clinical EMR datasets into novel discoveries. You will aid in the design and development of Sema4's databases and associated data analytics. This role will serve as a SME in genomics, cancer biology and clinical oncology.
RESPONSIBILITIES
  • Lead translational research projects in collaboration with oncologists and basic scientists using Sema4's unique data resources.
  • Contribute to automated extraction of key data elements from EMR
  • Ability to evaluate available literature and other data sources such ClinVar, cBioPortal, TCGA, NCBI, Ensembl, Broad FireHose, etc.
  • Present research findings to stakeholders
  • Publish novel findings in academic journals and present at conferences

QUALIFICATIONS
  • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline. We will also consider MDs with training in oncology and/or Biomedical Informatics.
  • Minimum 2-3 years of Post-Doctoral or Industry experience.
  • Strong computational and analytical skills.
  • Deep understanding of genomics, cancer biology or clinical oncology. Experience in oncology is highly preferred.
  • Excellent written and verbal communicator.
  • Experience working on interdisciplinary teams that include scientists, programmers, and clinicians.
  • Proficiency in one or more programming languages including Python, R and SQL; familiarity with Linux environments and exposure to cloud infrastructures such as AWS.
  • Interest in data science and machine learning approaches to solving complex problems.
  • Experience of developing and documenting high-quality code using version control tools (especially Git) and software issue tracking/management systems (especially Jira).
  • Highly motivated, great ability to work independently or as part of a team.
  • Track record of publishing high impact peer-reviewed research articles.

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