Senior Scientist I, Machine Learning

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. 

AbbVie Immunology is expanding its early discovery (The early Transformational and Translational Immunology Discovery/TTID-Systems Immunology) team in Cambridge, Massachusetts. TTID is focused on identifying new targets for the treatment of autoimmune and chronic inflammatory diseases through computational analysis of human disease tissue derived datasets, and through validating targets using humanized experimental approaches.

We are seeking a highly motivated and skilled individual to join our team as a Computational Immunology Scientist. The successful candidate will play a crucial role in developing and implementing cutting-edge computational approaches to predict drug responses using high-throughput molecular profiling data. Specifically, this role will involve integrating multi-omics data, building gene regulatory network models, and leveraging machine learning techniques to assess drug combination opportunities. 

The person will work in a multi-disciplinary team analyzing multi-omics datasets to derive insights into immunological diseases, identify novel therapeutic targets specific to patient cohorts and AbbVie pipeline drugs. In addition, the candidate will contribute to presentations at scientific conferences and publications of translational findings in peer reviewed journals, new drug applications and regulatory filings. If you are passionate about translating complex biological data into actionable insights and contributing to the advancement of personalized medicine, we encourage you to apply.

Key Responsibilities

1. Single Cell Analysis Strategies:
   • Establish and develop novel analysis strategies for single-cell RNA-seq, TCR-seq, and BCR-seq data.
   • Leverage single-cell data to identify context-specific regulatory networks associated with disease targets and biomarkers.
2. Multi-Omics Integration:
   • Integrate diverse omics data (e.g., gene expression, proteomics, genomics) to infer regulatory networks.
   • Collaborate with cross-functional teams to identify potential drug targets and optimize therapeutic strategies.
3. Machine Learning Model Development: 
   • Develop machine learning methods to assess target prioritization.
   • Utilize internal omics data to predict drug responses and optimize treatment outcomes, and perform perturbation analysis
4. Scientific Communication:
   • Interpret findings and effectively communicate scientific data, concepts, and recommendations to internal stakeholders.
   • Participate in feature design, code reviews, and technical discussions.
5. External Collaborations:
   • Provide expertise and technical consultation for external collaborations and partnerships with academia and industry.
   • Contribute to collaborative projects that address critical gaps in drug response prediction.

Basic Qualifications:

• PhD, MS, or BS degree in bioinformatics, statistics, mathematics, computer science, computational biology, genomics, or a related field.
  • 8+ years of experience in relevant research or industry roles is typically required for applicants with MS degree
  • 10+ years of experience in relevant research or industry roles is typically required for applicants with BS degree
  • 0-3+ years of experience is typically required for applicants with a PhD.
• Proficiency in statistical and programming languages (e.g., R, Python).
• Experience with cloud computing environments.
• Hands-on experience with multi-omics data integration strategies.
• Expertise in functional interpretation of -omics data (e.g., RNASeq, proteomics, genomics) and pathway enrichment.
• Strong knowledge of machine learning techniques (classification, clustering, auto-encoders, reinforcement learning, transfer learning).

Preferred Qualifications:

• Publications and Contributions: A track record of publications or contributions in relevant scientific journals or conferences.
• Immunology Knowledge: Understanding of immunology principles and their relevance to drug response prediction.
• Collaborative and Dynamic Work Style: Ability to thrive in a multiple-tasked, fast-paced, highly collaborative, and dynamic work environment.
• Effective Communication Skills: A proactive scientist with outstanding presentation and communication skills that foster collaboration and teamwork.

 Key AbbVie Competencies:

• Builds strong relationships with peers and cross functionally with partners outside of the team to enable high performance.
• Learns fast, grasps the “essence” and can change course quickly where indicated.
• Raises the bar and is never satisfied with the status quo.
• Creates a learning environment, open to suggestions and experimentation for improvement.
• Embraces the ideas of others and nurtures innovation to make possibilities real.
• An individual with a strong work ethic, ability to work in a dynamic environment and able to manage multiple objectives in parallel and adapt to changing priorities.

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

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• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

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Note: No amount of pay is a considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. ​

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AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion.  It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.