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Remote Cancer Biologist Jobs in Connecticut (NOW HIRING)

This opportunity can be remote. Duties and responsibilities: • Support Oncology drug development ... Client cancer therapeutics discovery and development. • Apply and develop innovative analysis ...

New

ARV-806, targeting KRAS G12D for mutated cancers, including pancreatic, colorectal, and non-small ... Partner with discovery and biology leadership and provide clinical input and guidance to develop ...

Remote Cancer Biologist information

What is a remote cancer biologist?

A remote cancer biologist is a scientist who studies the biology of cancer, such as tumor growth and genetic mutations, while working outside of a traditional laboratory or office environment, often from home. They may analyze data, write research papers, and collaborate with other scientists using digital tools and communication platforms. While some experimental work may require on-site presence, many tasks like data analysis, literature review, and project planning can be done remotely. This role allows for flexibility and access to global collaborations.

How does a remote cancer biologist effectively collaborate with laboratory teams and manage experiments from a distance?

Remote cancer biologists typically collaborate closely with onsite laboratory teams through regular virtual meetings, project management tools, and shared data platforms. While they may not perform hands-on wet lab work, they are often responsible for designing experiments, analyzing results, interpreting data, and providing scientific guidance. Effective communication and clear documentation are essential to ensure experimental protocols are followed accurately and research goals are met. This remote setup allows for flexibility but requires strong organizational skills and proactive engagement with the lab team.

What are the key skills and qualifications needed to thrive as a remote cancer biologist, and why are they important?

To thrive as a Remote Cancer Biologist, you need a strong background in molecular biology, oncology research, and data analysis, typically supported by a PhD in a related field. Experience with bioinformatics tools, lab management software, and statistical analysis platforms like R or Python is often required. Excellent written communication, self-motivation, and the ability to collaborate virtually are vital soft skills for remote work. These skills ensure rigorous scientific research, effective teamwork from a distance, and successful contributions to cancer biology advancements.

What are popular job titles related to Remote Cancer Biologist jobs in Connecticut?

For Remote Cancer Biologist jobs in Connecticut, the most frequently searched job titles are:

What cities in Connecticut are hiring for Remote Cancer Biologist jobs?

Cities in Connecticut with the most Remote Cancer Biologist job openings:

Remote Scientist III

Ridgefield, CT • On-site, Remote

Sigma Systems, Inc.
51 - 200 employees

Full-time

Posted 3 days ago

New


Job description

37566110 Remote Scientist III 12 Months

Sigma Systems is currently looking for a Remote Scientist.

Responsibilities:

  • As an active team member of the Computational Innovation department at Boehringer-Ingelheim, the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote
  • Support Oncology drug development efforts
  • Identify, learn and apply emerging technologies in data science and its applications to Client cancer therapeutics discovery and development.
  • Apply and develop innovative analysis approaches when standard methods are not adequate
  • Identify and process publicly available and internally generated datasets using statistical and bioinformatics techniques to create meaningful biological insights
  • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field
  • Interpret, report, and present analysis results, with a high level of integrity and ethics, to biologists and collaborators.
  • Ensure FAIR data analysis with clear documentation and reproducibility

Requirements:

  • PhD degree from an accredited institution with experience in computational sciences or a related scientific discipline (e.g., Computer sciences, Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences)
  • Programming experience with Python and R for bioinformatic data analysis in unix-like systems.
  • Proficiency in working with bulk and single cell NGS data
  • Experience with any of these topics is a plus: oncology or immunology knowledge, spatial transcriptomics, methylation, or liquid biopsy data analysis, public oncology database datasets (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc)
  • Proficiency in working with high-performance computing clusters (HPC)
  • Proficiency in biological pathway analysis