Biological Data Scientist

About Talus Bioscience

Talus Bioscience, a venture-backed early-stage biotechnology startup, is at the forefront of developing innovative therapies for incurable cancers. Driven by the belief that "nothing is undruggable," we harness cutting-edge proteomics and AI during the initial stages of discovery to unlock previously inaccessible targets in cancer.

Exciting opportunities await at Talus Bio - your chance to be part of something transformative!

Our Commitment to Diversity & Inclusion

Talus Bio is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Talus Bio to better meet our mission and serve healthcare communities around the world. We recognize that opportunities in the life sciences have historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We welcome all people including cisgender, transgender, agender, and intersex and are inclusive of non-binary folx. We strongly encourage individuals with these identities to apply.

Biological Data Scientist Job Description

Talus Bio is looking for a Data Scientist to join our team full-time in our Seattle office..

This person will work directly with Will Fondrie tackling computational biology and chemistry problems at Talus Bio, and will be naturally curious, results-driven, and eager to work in a small biotech start-up environment.

The Data Scientist will work as part of a small team to develop and improve our computational tools for discovering drugs that target transcription factors and other gene regulatory proteins. This position is filled by a technological / scientific leader who leverages their knowledge of machine learning, statistics and proteome/genome bioinformatics to solve complex biological problems in a fast-paced, innovative, early-stage biotech environment.

We value open-source contributions; a successful applicant for this position will include their GitHub (or similar) username.

Salary and Benefits

Salary range: $80,000 - $140,000/year

Despite being a small startup biotech, Talus Bio's first priority is the safety and wellbeing of all our employees and their families, both inside and outside of the lab. As part of this commitment, we have put a great deal of thought and care into developing a cost-effective and comprehensive benefits package for our team.

Our benefits package includes but is not limited to the following:

• Medical/dental/vision insurance with 100% company-paid premiums for employees and 50% company-paid for dependents
• $112/month commuter and transportation reimbursement program
• 401(k) plan with a 4% Talus Bio contribution (regardless of employee contribution)
• Basic Life and AD&D Insurance
• 4 weeks of paid time off PLUS a paid end-of-year shutdown between Christmas Day and New Year's day
• 10 paid holidays
• Weekly meals, snacks, and drinks
• Flexible working hours and work environment

Responsibilities

• Build, document, and test tools and machine learning models to guide Talus Bio's drug discovery efforts
• Contribute to in-house and open-source bioinformatics and data science software
• Aid in developing robust experimental designs
• Incorporate feedback from team members to iterate on models, algorithms, and user interfaces
• Accurately document code and analyses in version-controlled repositories
• Contribute to a rigorously scientific, cohesive, and efficient team environment
• Prepare and present experimental results, analysis, and plans at R&D meetings
• Contribute to the design and maintenance of Talus Bio's cloud infrastructure
• Conduct independent research and demonstrate scientific leadership within the project team and across departments
• Collaborate with all functions within and outside Talus Bio to advance our science

Qualifications

Required

• PhD with 0-3 years of industry experience in Biological Data science, or BS/MS degree with 5-7 years of industry experience in Biological Data science; degree should be in Computer Science, Bioinformatics, or a related field
• Experience analyzing 'omics data (genomics, proteomics, metabolomics, etc.)
• Experience developing and deploying machine learning models
• Experience presenting complex computational results to non-computational stakeholders
• Fluent in Git, Bash, and Python
• Moderate fluency in SQL and the PyData software stack (Pandas, NumPy, etc.)
• Able to programmatically generate clear visualizations of results with tools such as Matplotlib and Seaborn
• A working understanding of proteins and chromatin biology

Preferred

Although we don't expect applicants to have all of these qualifications, they are skills that we value and will weigh in our consideration:

• 2+ years of experience developing deep learning models, preferably with PyTorch
• 2+ years of experience with probabilistic programming, preferably with Pyro
• 2+ years of experience with Python package development
• Significant contributions to open-source scientific software
• Moderate fluency in Rust for high-performance applications
• Moderate fluency in web development such as with React, NextJS, Django, FastaAPI, etc
• Experience developing bioinformatics pipelines using NextFlow, or other workflow engines
• Experience with CI/CD using GitHub Actions or similar
• Experience with Amazon Web Services and managing infrastructure-as-code, preferably with Terraform

Talus Bioscience, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

To apply, please attach both a resume AND a cover letter to your application!

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