Data Science Intern, BigHat Biosciences
Summer 2025
Office located in San Mateo, CA
Antibody discovery & engineering platform
Be an early applicant
Antibody discovery & engineering platform
21-100 employees
Be an early applicant
Office located in San Mateo, CA
21-100 employees
Company mission
1900 Alameda de Las Pulgas, San Mateo, California 94403, US
Role
Who you are
- Currently have or are working towards a bachelor’s or graduate degree (MS or PhD) in biology, statistics, computer science, bioengineering, or a related field
- Familiarity with bioinformatics pipelines, classic statistical models (regression, ANOVA, random effects models), experimental design, and AI/ML techniques (SVMs, deep learning)
- Competency in Python, R, or similar programming languages. Familiarity with pandas, git-based version control
- Enjoys a fast-paced environment where analyses are quickly translated into business and scientific decisions
- Demonstration of skills through publications or previous research/internship experience
- Nice-to-haves: experience communicating high-level results to scientific audiences, such as in lab/department meetings or conferences
What the job involves
- BigHat Biosciences is seeking a highly motivated Data Scientist intern to join us for Summer 2025
- This position will focus on advancing BigHat’s data science capabilities, which support our state-of-the-art antibody engineering platform and therapeutic programs
- Implement robust, scalable data processing workflows for transforming high-throughput experimental measurements into biologically-relevant datasets for statistical and machine learning
- Build interactive dashboards which integrate data across multiple assays and enable scientists and program managers to understand the status of each optimization campaign and improve antibody design
- Develop analyses and visualizations that relate high-dimensional antibody sequence space to experimental metrics of antibody function and quality
- Design and implement innovative strategies to analyze, model, and interpret diverse biological datasets
- Source, implement and improve state of the art computational approaches from the literature and public domain to accelerate BigHat’s antibody optimization campaigns
- Collaborate closely with a large cross-section of the BigHat team including wet lab scientists, automation engineers, software engineers, data scientists, and machine learning researchers
Our take
Melding genetics and code, Bighat Bioscience is a protein therapeutics company that develops antibodies for the medical industry using machine learning and artificial intelligence. Established in 2019, its antibody design capabilities have been tried and tested for numerous use cases, including during the vaccine development race of the pandemic.
The platform has special utility in supporting the creation of drugs for hard-to-treat diseases such as Alzheimer's, which affect large numbers of people. To this end, the company has partnered with leading pharmaceutical companies such as Merck & Co and Amgen to build ML and AI platforms for their drug discovery needs.
Interestingly, BigHat grew its company by 30% in 2022, despite competitors having to downsize, which is a a definitive green flag for its success in the space. It has also won big when it comes to large contractors who see the smoothness and scalability of the platforms it builds, suggesting it will secure more lucrative deals moving forward.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Jul 2022
$75m
SERIES B
Feb 2021
$19m
SERIES A
Total funding: $99.3m
Company benefits
- Culture of excellence and growth
- Swift promotions with clear standards
- Autonomy and responsibility
- Fair compensation and recognition
- True work life balance
Company HQ
Beresford Park, San Mateo, CA
Leadership
Mark DePristo
(CEO)Currently Advisor at Mirvie and EverlyWell. Previously Head of Genomics Team at Google and Vice President of Informatics at SynapDx.
Peyton Greenside
(CSO)Previously Founding Scientific Advisor at VALIS, Fellow at Schmidt Science Fellows and Quantitative Analyst Intern at Verily Life Sciences.
Theresa Tribble
(Advisor)Currently CEO at Droplet Biosciences. Also founded Landsdowne Labs, and Nebula Industries. Previously Venture Partner at The Engine.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 1 more job at BigHat Biosciences