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
Required Qualifications
- 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.
In addition to the Base Salary and Annual Bonus above, you will be eligible to participate in the Institute’s Compound Cash Grant Program (the “CCGP”). The CCGP is a program designed to offer multi-year cash grants providing for a fixed dollar amount paid out in semi-annual installments to reward employees for staying and contributing to the Institute. As soon as reasonably practical after your start date, you will receive a grant letter describing the terms of your award under the CCGP.