This position offers the rare opportunity to build and lead a world-class team while making direct ... You are passionate about machine learning and computational biology , with expertise in applying ...
This position offers the rare opportunity to build and lead a world-class team while making direct ... You are passionate about machine learning and computational biology , with expertise in applying ...
This position offers the rare opportunity to build and lead a world-class team while making direct ... You are passionate about machine learning and computational biology , with expertise in applying ...
This position offers the rare opportunity to build and lead a world-class team while making direct ... You are passionate about machine learning and computational biology , with expertise in applying ...
... biology, working to accelerate scientific progress and understand the root causes of complex ... The Director of Machine Learning will lead a team in developing advanced machine learning models ...
... biology, working to accelerate scientific progress and understand the root causes of complex ... The Director of Machine Learning will lead a team in developing advanced machine learning models ...
... biology, working to accelerate scientific progress and understand the root causes of complex ... The Director of Machine Learning will lead the development of advanced machine learning models for ...
... biology, working to accelerate scientific progress and understand the root causes of complex ... The Director of Machine Learning will lead the development of advanced machine learning models for ...
... biology, aiming to accelerate scientific progress. They are seeking a Director for the Machine ... Learning Virtual Cell Initiative to lead the development of predictive models based on single-cell ...
... biology, aiming to accelerate scientific progress. They are seeking a Director for the Machine ... Learning Virtual Cell Initiative to lead the development of predictive models based on single-cell ...
Dir, Machine Learning Eng
San Jose, CA · On-site
Required : • Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space • ...
Dir, Machine Learning Eng
San Jose, CA · On-site
Required : • Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space • ...
SR DIRECTOR, MACHINE LEARNING
Goodlettsville, TN · On-site
$180 - $280/hr
This role exists to build, scale, and operationalize Dollar General's enterprise machine learning capabilities that directly drive measurable business outcomes. The Senior Director owns the ML ...
SR DIRECTOR, MACHINE LEARNING
Goodlettsville, TN · On-site
$180 - $280/hr
This role exists to build, scale, and operationalize Dollar General's enterprise machine learning capabilities that directly drive measurable business outcomes. The Senior Director owns the ML ...
Dir, Machine Learning Eng
San Jose, CA · On-site
Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space * Ability to lead and ...
Dir, Machine Learning Eng
San Jose, CA · On-site
Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space * Ability to lead and ...
Director, Machine Learning, Virtual Cell Initiative
Palo Alto, CA · On-site +1
$380K - $420K/yr
You want to develop highly innovative and accurate biology-inspired multimodal machine learning ... models. * You are excited about collaborating with a multidisciplinary team of computational and ...
Director, Machine Learning, Virtual Cell Initiative
Palo Alto, CA · On-site +1
$380K - $420K/yr
You want to develop highly innovative and accurate biology-inspired multimodal machine learning ... models. * You are excited about collaborating with a multidisciplinary team of computational and ...
Director, Machine Learning, Virtual Cell Initiative
Palo Alto, CA · On-site +1
$380K - $420K/yr
You want to develop highly innovative and accurate biology-inspired multimodal machine learning ... models. * You are excited about collaborating with a multidisciplinary team of computational and ...
Director, Machine Learning, Virtual Cell Initiative
Palo Alto, CA · On-site +1
$380K - $420K/yr
You want to develop highly innovative and accurate biology-inspired multimodal machine learning ... models. * You are excited about collaborating with a multidisciplinary team of computational and ...
Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space * Ability to lead and ...
Over 10 years of experience in software engineering with at least 5 years focused in designing machine learning solutions with direct application in the data engineering space * Ability to lead and ...
They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative ... Required : • PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or ...
They are seeking a Director of Machine Learning for their Alzheimer's Disease Initiative ... Required : • PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or ...
Director, Machine Learning Science - Marketing
Seattle, WA · On-site +1
$358K/yr
Director, Machine Learning Science - Marketing Expedia Group is looking for a Director of Machine Learning Science to lead the applied science team behind our Marketing organization. This team builds ...
Director, Machine Learning Science - Marketing
Seattle, WA · On-site +1
$358K/yr
Director, Machine Learning Science - Marketing Expedia Group is looking for a Director of Machine Learning Science to lead the applied science team behind our Marketing organization. This team builds ...
This role exists to build, scale, and operationalize Dollar General's enterprise machine learning capabilities that directly drive measurable business outcomes. The Senior Director owns the ML ...
This role exists to build, scale, and operationalize Dollar General's enterprise machine learning capabilities that directly drive measurable business outcomes. The Senior Director owns the ML ...
Director, Machine Learning - User Value
Mountain View, CA · On-site +1
$250K - $325K/yr
We are seeking a visionary Director of Machine Learning to lead our User Value team, a group at the heart of Unity's ambitious machine learning modeling initiatives. As a leader, you will bridge the ...
New
Director, Machine Learning - User Value
Mountain View, CA · On-site +1
$250K - $325K/yr
We are seeking a visionary Director of Machine Learning to lead our User Value team, a group at the heart of Unity's ambitious machine learning modeling initiatives. As a leader, you will bridge the ...
New
Staff Machine Learning Scientist
Brisbane, CA · On-site
$199K - $283K/yr
The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in ... Independently pursue cutting edge research in AI applied to biological problems (including cancer ...
Staff Machine Learning Scientist
Brisbane, CA · On-site
$199K - $283K/yr
The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in ... Independently pursue cutting edge research in AI applied to biological problems (including cancer ...
Experience with Generative AI and Machine Learning is essential. Prior background in payments and AI is a strong plus. * The successful candidate will thrive in the dynamic payments space and be ...
Experience with Generative AI and Machine Learning is essential. Prior background in payments and AI is a strong plus. * The successful candidate will thrive in the dynamic payments space and be ...
Staff Machine Learning Scientist
Brisbane, CA · On-site +1
$199K - $283K/yr
The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in ... Independently pursue cutting edge research in AI applied to biological problems (including cancer ...
Staff Machine Learning Scientist
Brisbane, CA · On-site +1
$199K - $283K/yr
The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in ... Independently pursue cutting edge research in AI applied to biological problems (including cancer ...
Experience with Generative AI and Machine Learning is essential. Prior background in payments and AI is a strong plus. * The successful candidate will thrive in the dynamic payments space and be ...
Experience with Generative AI and Machine Learning is essential. Prior background in payments and AI is a strong plus. * The successful candidate will thrive in the dynamic payments space and be ...
Experience with Generative AI and Machine Learning is essential. Prior background in payments and AI is a strong plus. * The successful candidate will thrive in the dynamic payments space and be ...
Experience with Generative AI and Machine Learning is essential. Prior background in payments and AI is a strong plus. * The successful candidate will thrive in the dynamic payments space and be ...
Director Machine Learning Biology information
What is the difference between Director Machine Learning Biology vs Data Scientist Biology?
| Aspect | Director Machine Learning Biology | Data Scientist Biology |
|---|---|---|
| Required Credentials | Advanced degrees (PhD/Master's) in Biology, Computer Science, or related fields; experience in machine learning | Bachelor's or Master's in Data Science, Biology, or related fields; programming skills; some experience in machine learning |
| Work Environment | Leadership roles in R&D teams, strategic planning, overseeing projects | Data analysis, model development, research, and reporting |
| Employer & Industry Usage | Biotech, pharmaceutical companies, research institutions | Biotech, healthcare, research organizations, academia |
The main difference is that the Director Machine Learning Biology focuses on leading teams and strategic initiatives in applying machine learning to biological data, while Data Scientist Biology primarily conducts data analysis and model development within biological research projects. The director role involves higher-level management and oversight, whereas the data scientist role is more hands-on with data and algorithms.
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What are the most commonly searched types of Machine Learning Biology jobs? The most popular types of Machine Learning Biology jobs are:
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Full-time
Re-posted 11 days ago
Job description
About Arc Institute
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.
Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.
Our two Institute Initiatives reflect this model in action:
More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
About the Position
We are searching for an exceptional scientific leader to establish a new team within Arc Institute's Computational Technology Center, serving as the Director, Machine Learning for our Alzheimer's Disease Initiative (ADI).
This ambitious initiative spans Arc's Technology Centers and Core Investigator Laboratories and focuses on high-throughput interrogation of neurodegeneration and Alzheimer's disease mechanisms using advanced gene editing and functional genomics approaches. As the Machine Learning Research Lead, ADI, you will spearhead development of sophisticated machine learning foundation models to capture cell states and infer gene regulatory networks and causal relationships to predict therapeutic interventions.
This position offers the rare opportunity to build and lead a world-class team while making direct contributions to understanding and potentially treating Alzheimer's disease through state-of-the-art computational biology and machine learning approaches.
About You
The base salary range for this position is $380,000-$420,000. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.
Arc Institute is an independent nonprofit research organization at the interface of artificial intelligence and biology, working to accelerate scientific progress and understand the root causes of complex diseases. Founded in 2021 and based in Palo Alto, Arc partners with Stanford University, UC Berkeley, and UC San Francisco.
Unlike academia, our scientists have long-term funding and industry-like resources. Unlike industry, they're free to pursue high-risk, long-term research without commercial pressures. Arc's Technology Centers and Core Investigator labs work side by side, integrating experimental and computational biology under one roof to tackle problems neither could solve alone.
Our two Institute Initiatives reflect this model in action:
- Virtual Cell Initiative: Building a full-stack virtual cell model to identify disease mechanisms and nominate drug targets, accelerating the path from biological insight to clinical trials.
- Alzheimer's Disease Initiative: Mapping the genes, pathways, and environmental factors behind Alzheimer's disease to develop drug candidates that address root causes.
More than 300 Arconauts work together at our Palo Alto headquarters, backed by substantial long-term philanthropic funding.
About the Position
We are searching for an exceptional scientific leader to establish a new team within Arc Institute's Computational Technology Center, serving as the Director, Machine Learning for our Alzheimer's Disease Initiative (ADI).
This ambitious initiative spans Arc's Technology Centers and Core Investigator Laboratories and focuses on high-throughput interrogation of neurodegeneration and Alzheimer's disease mechanisms using advanced gene editing and functional genomics approaches. As the Machine Learning Research Lead, ADI, you will spearhead development of sophisticated machine learning foundation models to capture cell states and infer gene regulatory networks and causal relationships to predict therapeutic interventions.
This position offers the rare opportunity to build and lead a world-class team while making direct contributions to understanding and potentially treating Alzheimer's disease through state-of-the-art computational biology and machine learning approaches.
About You
- You are passionate about machine learning and computational biology, with expertise in applying cutting edge ML approaches to biological systems
- You excel at developing interpretable machine learning approaches, such as variational inference and causal modeling methods
- You are excited about building and leading a technical team while remaining hands-on with foundation model development and implementation.
- You thrive in collaborative, multidisciplinary environments and enjoy working with both computational scientists and wet lab biologists
- You are a continuous learner who stays current with the latest developments, in both machine learning and neuroscience
- Attract, build and lead a team of exceptional machine learning research scientists dedicated to developing foundation models for cellular systems in Alzheimer's disease
- Develop and execute on a roadmap of interpretable machine learning approaches to understand disease mechanisms, with emphasis on variational inference, causal modeling, as well as modern transformer- and diffusion-based architectures
- Work closely with experimentalists on brain organoid/spheroid cellular models as well as in vivo models, working with scRNA-seq, Perturb-seq and other datasets to unravel causal gene pathways relevant to Alzheimer's disease
- Develop predictive modeling approaches to identify how perturbations can move cell states from high risk Alzheimer's profiles back to healthy / low risk states
- Collaborate closely with experimental biologists to ensure ML models are grounded in disease biology and can feedback into future experimental strategies
- Foster collaborations with external partners in the computational biology and neuroscience communities
- Publish high-impact research through preprints, journal publications, open source code, and presentations at leading conferences
- PhD in Computational Biology, Bioinformatics, Machine Learning, Computer Science, or related quantitative field
- 7+ years of relevant experience with a minimum of 3 years of people management experience
- Strong research background with experience in academic settings (university, research institute) and/or biotech/pharmaceutical industry with a focus on scientific innovation
- Proven expertise in machine learning applications to biological datasets, with specific experience in single-cell profiling data and foundation model development
- Deep experience with interpretable machine learning approaches for biological systems (e.g. variational inference methods).
- Advanced technical skills in machine learning frameworks, particularly PyTorch, and ideally experience with model training at scale
- Publications in top-tier journals in computational biology and machine learning
- Excellent communication skills with ability to present complex machine learning concepts to both computational and biological audiences
- Proven ability to remain technically hands-on while providing effective team leadership, mentorship, and management
- Background in neurodegeneration research including familiarity with Alzheimer's disease datasets, pathways, networks, disease mechanisms, and eQTL analysis is a plus
The base salary range for this position is $380,000-$420,000. These amounts reflect the range of base salary that the Institute reasonably would expect to pay a new hire or internal candidate for this position. The actual base compensation paid to any individual for this position may vary depending on factors such as experience, market conditions, education/training, skill level, and whether the compensation is internally equitable, and does not include bonuses, commissions, differential pay, other forms of compensation, or benefits. This position is also eligible to receive an annual discretionary bonus, with the amount dependent on individual and institute performance factors.
About Arc Institute
Sourced by ZipRecruiter
Industry
Biotechnology research and development
Company size
51 - 200 Employees
Headquarters location
Palo Alto, CA, US