Search for Computational Biologist roles in the San Francisco Bay Area, specifically in biotech companies, with a focus on machine learning and toxicology, requiring a background in experimental biology and coding expertise.

Okay, I've searched for Computational Biologist roles in the San Francisco Bay Area within biotech companies, specifically focusing on machine learning and toxicology, requiring a background in experimental biology and coding. I found 27 positions matching your criteria.

Computational Biologist

San Francisco Bay Area

Biotech

machine learning

experimental biology

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of a Machine Learning Computational Biologist is fundamentally about bridging the realms of biology and technology, specifically through machine learning and data analysis. The person in this position is tasked with unpacking complex toxicity datasets to derive actionable biological insights, which is critical in drug development, particularly within the fast-paced biotech sector. Responsibilities include running analyses on ML models, designing new imaging assays, and investigating toxicity across various biological systems. Success in this role will hinge on the candidate’s ability to discern meaningful patterns from noisy data and effectively communicate their findings to interdisciplinary teams. This will require a robust understanding of both biology and computational methods, as well as a curiosity and passion for exploring the underlying mechanisms of biological phenomena. The emphasis on proficiency with statistical tools and specific imaging software indicates the expectation for the candidate to effectively manipulate and analyze high-content data, while fostering collaboration with drug discovery scientists and ML researchers to influence real-time decision-making.

Company Analysis:

Barrington James operates within the dynamic and rapidly evolving Life Sciences sector, specifically focusing on recruitment that supports advancements in drug development and biotechnology. The company positions itself as an agile player in this competitive market, indicated by its emphasis on niche specialization and deep industry networks. The organizational culture seems to prioritize employee investment and development, suggesting a collaborative and meritocratic environment that values growth and innovation. This context implies that a Machine Learning Computational Biologist at Barrington James would not only contribute to high-impact projects but also be part of an organization keen on fostering individual career progression. Working in such a company means adapting to fast-paced changes while continuously learning and evolving in line with industry advancements. The strategic alignment of this role within Barrington James is to enhance their client offerings by delivering insights that can ultimately streamline drug discovery and minimize risks during development processes.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you had to analyze a large dataset. What was your approach, and what insights did you derive?
Describe a situation where you collaborated with professionals from different fields. How did you ensure effective communication?
Can you share an experience where you identified noise in a dataset? How did you handle it?
How would you approach designing a new imaging assay for toxicity prediction? What key elements would you consider?
What statistical methods do you find most important when working with high-content imaging data?
How have you utilized machine learning in past projects? Can you provide a specific example?
Imagine you have conducted an analysis on toxicity data and identified a potential issue. How would you communicate your findings to the drug discovery team?
Given a dataset with ambiguous results, what steps would you take to validate your conclusions before sharing them?
Why are you specifically interested in a role at an AI-driven biotech company like this one?
How do your values regarding scientific inquiry align with our mission to innovate in drug development?
Can you describe a challenging project you worked on and how you approached problem-solving in that context?
What motivates you to work at the intersection of biology and machine learning?
What opportunities for growth do you see in a role with our company?
How do you think recent advancements in AI and machine learning will impact the future of drug development?
What questions do you have for us about our research focus or organizational structure?

Job Details

Overview Company

Machine Learning Computational Biologist

Barrington James

a day ago

Highlight

OnsiteFull-timeMid

Summary

Barrington James is seeking a Machine Learning Computational Biologist to join their team in the San Francisco Bay Area. The role involves working with large toxicity datasets and collaborating with ML researchers, assay developers, and drug discovery scientists.

About the Role

As a Machine Learning Computational Biologist, you will dig into large, noisy biological datasets to find clear, actionable insights. You will run deep-dive analyses on ML models, help design new imaging assays, build pipelines to clean and analyze high-content imaging data, and investigate toxicity across various systems. You will work closely with drug discovery teams to interpret compound toxicity.

About You

Required:

Fluency in both biology and coding, or a strong biologist who has picked up coding.
A sharp eye for signal vs noise in messy biological data.
Genuine curiosity about how biology works and how software models interpret it.
Care about data quality, clear thinking, and asking the right scientific questions.

Preferred:

Experience with imaging tools like CellProfiler, Cellpose, or similar.
Solid grasp of stats, dimensionality reduction, curve fitting, and ML basics.
Background in high-throughput screening, cell painting, or assay automation.
Published in this space or contributed new computational methods.

Barrington James

The global Life Sciences industry is dominant in today’s world. Drug development processes are progressing faster than ever before. The need for vaccines, treatments and medical devices continues to grow at an exponential rate to ensure treatment for disease reaches those it needs to.

That means for Barrington James, we grow at the same speed. With 14 global offices specialising in niche areas of the Life Science industry, we are ready to support our growing group of clients in sourcing the most, senior, specialist and rare candidates to join them.

‘We Invest In Our People’ through training and development, through meritocratic progression, and through unrivalled commission structures, shareholder and bonus schemes.

Barrington James Board & Executive Partners Barrington James is your global and award- winning Life Science Executive recruitment partner. With combined experience of over 100 years, our Executive Search team has access to the deepest pharmaceutical networks.

Our primary focus is to understand and address the business challenges and hiring needs of our clients through a range of bespoke services, including Executive Search, Project Management, Market Research, Mapping Practice and Reference Check Insights.

San Francisco Bay Area, CA