Connecticut Innovations
Talent Acquisition Partner at Connecticut Innovations | VC | TA & People Consulting for Startups
Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech.
Come join Bexorg, Decode the Brain. Reinvent Drug Discovery!
Recent funding news: Bexorg Raises $42.5M to Transform CNS Drug Development with World’s First Integrated AI and Whole-Human Brain Platform.
About Bexorg Bexorg develops systems that plan and execute human brain perfusion experiments and manage a growing biobank (10,000+ samples and growing rapidly) with zero tolerance for data failures.
Since Bexorg was founded by Dr. Zvonimir Vrselja and Dr. Nenad Sestan at Yale University in 2021, the company has rapidly advanced its whole-human brain drug discovery platform.
The company’s foundational research, which demonstrated that cellular and metabolic activity could be restored to postmortem brains hours after death, was published in Nature (Nature 568, 336–343 (2019)). In 2024, Bexorg partnered with the University of Oxford and the UK Medical Research Council as part of a collaborative effort to advance translational gene therapy development for neurological diseases. In mid‑2025, the company announced a research collaboration with pharmaceutical company Biohaven Ltd. to advance two of Biohaven’s preclinical development programs. In the last 18 months, Bexorg has expanded its proprietary dataset to include hundreds of whole‑brain experiments spanning Alzheimer’s disease, Parkinson’s disease, and other neurodegenerative conditions, establishing one of the world’s largest repositories of human CNS data.
Building on continuous growth of its proprietary human brain dataset, Bexorg is now training foundation models on petabyte‑scale human brain molecular data, creating the first AI system grounded in experimentally measured human neurobiology.
Computational Biologist - Key Responsibilities
Design, implement, and optimize computational pipelines for processing high-throughput, multi‑modal biological data.
Integrate diverse datasets to produce spatially and temporally resolved profiles of brain biology.
Work closely with experimental biologists, engineers, to translate data findings into actionable insights for drug discovery and development.
Develop and apply statistical models and machine learning approaches to interrogate and visualize complex biological data.
Ensure robust data quality, reproducibility, and scalability.
Present research findings in internal meetings, conferences, and contribute to peer‑reviewed publications.
Qualifications
PhD in Bioinformatics, Computational Biology, or a related field with clearly relevant computational projects.
Demonstrated experience with multi‑omics data analysis, ideally within a neurological or biomedical context.
Experience with RNAseq technologies, including sc/snRNAseq.
Proficiency in programming languages such as Python and R, with hands‑on experience using standard bioinformatics tools.
Strong background in developing scalable computational workflows and data integration strategies.
Experience with high‑performance computing or cloud‑based data processing.
Excellent problem‑solving skills, with the ability to work collaboratively in a multidisciplinary environment.
Preferences
Prior work in neurobiology or neurological disease research.
A strong publication record in peer‑reviewed scientific journals.
Familiarity with advanced visualization techniques and data management best practices.
Equal Opportunity Employer Connecticut Innovations and its portfolio companies are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We have strict wage minimums, generous benefits, and personal leave policies. Our goal is to provide safe, rewarding, and empowering work environments for all who interact with our company and/or portfolio companies.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Science
Industries Software Development, Hospitals and Health Care, and Biotechnology Research
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Come join Bexorg, Decode the Brain. Reinvent Drug Discovery!
Recent funding news: Bexorg Raises $42.5M to Transform CNS Drug Development with World’s First Integrated AI and Whole-Human Brain Platform.
About Bexorg Bexorg develops systems that plan and execute human brain perfusion experiments and manage a growing biobank (10,000+ samples and growing rapidly) with zero tolerance for data failures.
Since Bexorg was founded by Dr. Zvonimir Vrselja and Dr. Nenad Sestan at Yale University in 2021, the company has rapidly advanced its whole-human brain drug discovery platform.
The company’s foundational research, which demonstrated that cellular and metabolic activity could be restored to postmortem brains hours after death, was published in Nature (Nature 568, 336–343 (2019)). In 2024, Bexorg partnered with the University of Oxford and the UK Medical Research Council as part of a collaborative effort to advance translational gene therapy development for neurological diseases. In mid‑2025, the company announced a research collaboration with pharmaceutical company Biohaven Ltd. to advance two of Biohaven’s preclinical development programs. In the last 18 months, Bexorg has expanded its proprietary dataset to include hundreds of whole‑brain experiments spanning Alzheimer’s disease, Parkinson’s disease, and other neurodegenerative conditions, establishing one of the world’s largest repositories of human CNS data.
Building on continuous growth of its proprietary human brain dataset, Bexorg is now training foundation models on petabyte‑scale human brain molecular data, creating the first AI system grounded in experimentally measured human neurobiology.
Computational Biologist - Key Responsibilities
Design, implement, and optimize computational pipelines for processing high-throughput, multi‑modal biological data.
Integrate diverse datasets to produce spatially and temporally resolved profiles of brain biology.
Work closely with experimental biologists, engineers, to translate data findings into actionable insights for drug discovery and development.
Develop and apply statistical models and machine learning approaches to interrogate and visualize complex biological data.
Ensure robust data quality, reproducibility, and scalability.
Present research findings in internal meetings, conferences, and contribute to peer‑reviewed publications.
Qualifications
PhD in Bioinformatics, Computational Biology, or a related field with clearly relevant computational projects.
Demonstrated experience with multi‑omics data analysis, ideally within a neurological or biomedical context.
Experience with RNAseq technologies, including sc/snRNAseq.
Proficiency in programming languages such as Python and R, with hands‑on experience using standard bioinformatics tools.
Strong background in developing scalable computational workflows and data integration strategies.
Experience with high‑performance computing or cloud‑based data processing.
Excellent problem‑solving skills, with the ability to work collaboratively in a multidisciplinary environment.
Preferences
Prior work in neurobiology or neurological disease research.
A strong publication record in peer‑reviewed scientific journals.
Familiarity with advanced visualization techniques and data management best practices.
Equal Opportunity Employer Connecticut Innovations and its portfolio companies are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We have strict wage minimums, generous benefits, and personal leave policies. Our goal is to provide safe, rewarding, and empowering work environments for all who interact with our company and/or portfolio companies.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering and Science
Industries Software Development, Hospitals and Health Care, and Biotechnology Research
#J-18808-Ljbffr