Senior Director of Data Science, BigHat Biosciences

Salary not provided
Expert level
San Francisco Bay Area

Office located in San Mateo, CA

BigHat Biosciences

Antibody discovery & engineering platform

Job no longer available

BigHat Biosciences

Antibody discovery & engineering platform

21-100 employees

HealthcareB2BArtificial IntelligenceBiologyMachine LearningMedTech

Job no longer available

Salary not provided
Expert level
San Francisco Bay Area

Office located in San Mateo, CA

21-100 employees

HealthcareB2BArtificial IntelligenceBiologyMachine LearningMedTech

Company mission

1900 Alameda de Las Pulgas, San Mateo, California 94403, US

Role

Who you are

  • PhD in a relevant domain [Computational Biology, Computer Science, Statistics, Bioengineering, Bioinformatics, or similar] with 10+ years of industry experience preferred
  • Proven record of growing teams and individuals in a fast-paced startup environment
  • Excellent communication skills including the ability to communicate and collaborate effectively about data problems with diverse audiences (e.g wet lab, engineering, product, drug development) and translate team needs into data science solutions
  • Experience and a methodological, practical mindset for applying a broad set of statistical and computational methods to real world biological problems
  • Deep experience working with diverse experimental data sets, ideally focused on protein or antibody design problems
  • Passionate about building robust, scalable data products for scientific teams

Desirable

  • Experience in therapeutic antibody development
  • Experience with data from phage display, NGS, and immunological or protein biophysical assays (e.g. BLI or SPR, thermostability, SEC, etc.)

What the job involves

  • BigHat Biosciences is seeking an exceptional, people-focused technical leader to scale BigHat’s Data Science team, capabilities, and impact
  • This role will grow a talented team of data scientists and set an ambitious technical roadmap in the mission of advancing BigHat’s state-of-the-art antibody engineering platform and therapeutic programs
  • Setting and executing a vision for how Data Science can advance BigHat’s mission and operations in our next stage of company growth including developing a roadmap for the data processes, systems, tools and capabilities that serve the Science organization
  • Deeply understanding the needs of Platform and Programs teams in order to architect and prioritize Data Science activities company-wide for a fast growing team
  • Architecting a data product ecosystem that accelerates therapeutic programs with insights derived from data ranging from immune repertoires to phage display to ML-designed sequence properties and corresponding experimental measurements
  • Growing a high performance team that services the entire organization including platform, protein sciences, machine learning, target discovery, and therapeutic programs emphasizing individual development of talented team members
  • Owning the entire data science life cycle at BigHat from experimental design through data analysis and modeling
  • Proactively identify areas where data science activities could accelerate BigHat’s mission and organizational effectiveness
  • Conceptualize and own robust and reliable data products (dataset, metadata, models, and visualizations) to advance the efficiency and effectiveness of our platform, including measuring data quality to modeling antibody function to automating variant design strategies
  • Collaborating closely with BigHat protein scientists, program leads, software engineers, ML scientists, and other team members to enable rapid, iterative development of data products across our platform
  • This role reports directly to the CSO and has broad responsibilities across BigHat for an ambitious technical roadmap in Data Science in collaboration with other areas of the company and for thoughtful development of a talented, growing team of data scientists

Application process

  • Applied
  • Initial Conversation / Head of Talent
  • Initial Conversation / Hiring Manager
  • 1st Technical Screen
  • 2nd Technical Screen
  • Full Panel Interview
  • Offer (Pending References)
  • References
  • Hired

Otta's take

Sam Franklin headshot

Sam Franklin

CEO of Otta

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.

Insights

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

54% employee growth in 12 months

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

Founders

Currently Advisor at Mirvie and EverlyWell. Previously Head of Genomics Team at Google and Vice President of Informatics at SynapDx.

Previously Founding Scientific Advisor at VALIS, Fellow at Schmidt Science Fellows and Quantitative Analyst Intern at Verily Life Sciences.

Currently CEO at Droplet Biosciences. Also founded Landsdowne Labs, and Nebula Industries. Previously Venture Partner at The Engine.

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