human genetics and pharmacogenomics. The GRC works across all R&D including discovery and clinical development, and multiple areas such as process sciences, global epidemiology, search and evaluation, and corporate strategy. Based at Abb Vie's brand-new CA headquarters located in South San Francisco, CA, we have an exciting opportunity in the team as the computational oncology lead with the primary focus of deep exploration of high-dimensional multi-omics real-world datasets, aiming to translate findings into actionable biological insights that can guide our understanding of drug activity and effects in patient tumors and patient stratification for specific therapeutic interventions.
The candidate will be responsible for interrogating and analyzing of large-scale data across various domains (high-throughput genomics, transcriptomics, histomics, proteomics, patient clinical data etc) and applying state-of-the-art algorithms or develop new algorithms.
We value novel, unique omics data as critical to Abb Vie Oncology's target identification, evaluation, and validation success. Therefore, the successful candidate will drive the multi-omics data analysis and integration in the real-world setting. He/she will also leverage of interdisciplinary expertise (cancer genomics, statistics, machine learning, deep learning and human clinical data etc) to enhance real-world data
(RWD) impact and boost Abb Vie's oncology portfolio. The candidate will be a significant contributor to such highly visible effort and collaborate with cross-functional teams including Abb Vie genomics research community, oncology target discovery, precision medicine, epidemiology, and digital pathology.
Key responsibilities include: • A key contributor in real-world data analysis for different data modalities including but not limited to WGS/WES, RNA-seq, ML/DL-based imaging data and multi-omics data integration. • Contribute to establishing and executing computational strategy leveraging proprietary multi-modal, pre-clinical and human derived cancer omics data assets for target and biomarker discovery• Responsible for formulating scientific questions into coherent analytical efforts, developing rigorous statistical and machine learning methods, and communicating scientific findings to internal and external stakeholders• Apply interactive data visualization tool to facilitate analysis result exchange• Contribute to presentations at internal and external scientific conferences, publications in peer-reviewed journals, and regulatory filings.
Scientist II, BS or equivalent education with typically 7 or more years of experience or MS or equivalent education with typically 5 or more years of experience.
Sr. Scientist I, Bachelor's Degree or equivalent education and typically 10 years of experience, Master's Degree or equivalent education and typically 8 years of experience, Ph D and no experience necessary. Possess thorough theoretical and practical understanding of own scientific discipline. Proficient in at least one general purpose programming/data science languages including but not limited to R, Python, Julia. Experience with common NGS data processing tools, statistical analysis, and machine learning. Experience in cancer genomics. Strong communication skills to foster collaboration in cross-functional teams Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: 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. Note: No amount of pay is 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.
Abb Vie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is Abb Vie'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, interaction (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, interactionual orientation, marital status, status as a protected veteran, or any other legally protected group status.
