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Remote Food Research Development Jobs in Connecticut

... research through in silico data driven approaches. You will leverage multi-modal omics data ... Support Oncology drug development efforts * Identify, learn and apply emerging technologies in data ...

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Hands-On Senior Executive - Corporate Development - Remote, Part Time Harris Computer seeks an ... Highly efficient research and outreach skills: A quick study who can profile, assess, and interpret ...

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Remote Food Research Development information

What is the difference between Remote Food Research Development vs Remote Food Quality Assurance?

AspectRemote Food Research DevelopmentRemote Food Quality Assurance
Primary FocusDeveloping new food products, formulations, and innovationsEnsuring food safety, compliance, and quality standards
Required CredentialsFood science degree, research experienceFood safety certifications, quality management training
Work EnvironmentLaboratories, research facilities, remote collaborationInspection sites, labs, remote audits
Industry UsageFood product development companies, R&D departmentsManufacturers, quality assurance teams

Remote Food Research Development focuses on creating and innovating new food products, while Remote Food Quality Assurance emphasizes maintaining safety and quality standards. Both roles often require food science credentials and involve remote collaboration, but their core objectives differ—product innovation versus quality compliance.

What are popular job titles related to Remote Food Research Development jobs in Connecticut?

For Remote Food Research Development jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Remote Food Research Development jobs in Connecticut look for?

The top searched job categories for Remote Food Research Development jobs in Connecticut are:

What cities in Connecticut are hiring for Remote Food Research Development jobs?

Cities in Connecticut with the most Remote Food Research Development job openings:

Infographic showing various Remote Food Research Development job openings in Connecticut as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% Remote job distribution.

Remote Scientist III

Sigma Systems, Inc.

Ridgefield, CT • On-site, Remote

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