Computational Biology Scientist - Epigenetics / Gene Regulation


ImmunoVec was founded to advance novel gene and cell therapies, growing out of the UCLA Gene Therapy Program, to the clinic. We have recently expanded our platform to immunotherapy for cancer, autoimmune conditions and HIV. Building upon discoveries that have produced potent treatments for genetic disorders, we plan to utilize our fusion of prominent scientists in gene and cell therapy, renowned leaders in artificial intelligence, and successful business entrepreneurs to accelerate the advancement of our innovative therapies for the treatment of life-threatening diseases. We are looking for a highly-motivated computational biology scientist with evidence of exceptional ability to join our team.
You will play a key role in our company, working alongside the founding scientists and a team of computational biologist and computer scientists in designing and optimizing critical software to develop novel therapeutic candidates. This position is available for a highly motivated scientist with a background in computational biology, computer science, machine learning/ artificial intelligence or bioinformatics.

Broadly your duties would include:
• Designing novel frameworks with process automation to improve upon current prediction algorithms which predict the function of non-coding regulatory elements in the human genome
• Apply machine learning/ artificial intelligence to develop next generation tools for epigenome characterization and prediction of non-coding DNA regulatory elements
• Front end software design to visualize data and predictions (beneficial but not required)


Be skillful in computer programming and coding (e.g., via R, Python, Bash, etc.)
• Have experience in the interpretation and execution of computational analysis of genomics
• Possess an understanding of basic epigenetics gene regulation mechanisms (e.g. Histone
Modification, Chromatin Accessibility, DNA Methylation)
• Have experience and be skillful in the use of AI/ machine learning/ deep learning models
• Possess a PhD degree and first author publications in computational genomics, computational
biology, bioinformatics, machine learning/ artificial intelligence, biostatistics or data science o Or a Master’s degree with evidence of exceptional ability
• Have 4+ years of programming experience
• Be ambitious and goal-oriented and thrive in a dynamic and fast-growing startup environment
• Be passionate about the impact of their scientific contributions and working together as a team
to develop novel therapies that have the potential to change patients’ lives

Start date

As soon as possible

How to Apply

Please Submit a CV to


Luke Riggan