Translational Bioinformatics Scientist
About the position Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. This position is based in Cambridge, MA. Remote work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in remote work are encouraged to apply. Responsibilities • Collaborate with Global Translational Medicine Leads to design and execute analysis plans that address key translational research questions from asset teams. • Identify and leverage relevant public and proprietary datasets to support translational objectives, and effectively communicate findings and insights to cross-functional asset teams. • Partner with Global Translational Bioinformatics Leads to develop and implement novel analytical methodologies and platforms, such as spatial transcriptomics workflows and integrated data portals. • Support the ingestion, curation, and archiving of large-scale omics and imaging datasets generated from Astellas-sponsored clinical trials and academic collaborations. Requirements • Ph.D. in computational biology, bioinformatics, or other biomedical sciences with 4-6 years' experience in applying bioinformatics or computational approaches to drug discovery/development, preferably in a biopharma setting. • Strong hands-on experience with Python, R, or similar languages commonly used in bioinformatics or image analysis. • Demonstrated expertise in analyzing multi-omics and clinical data to support research into disease mechanisms, patient stratification and biomarker discovery. • Experience in at least one of the following domains: advanced spatial transcriptomics analytics (oncology), advanced imaging analytics (oncology), or ophthalmology clinical imaging biomarker analytics. • Strong problem-solving mindset and willingness to work collaboratively in cross-functional clinical research environments. • Good communication skills, especially in explaining technical concepts to non-technical stakeholders. • Eager to learn new technologies and passion in translational / clinical research. Nice-to-haves • Exposure to deep learning frameworks (e.g., PyTorch, TensorFlow) and experience training or fine-tuning models on oncology imaging (H&E, IHC, mIF, etc.) or omics data. • Some experience in ophthalmic imaging analysis (OCT, FAF, etc.) is a plus but not required. Benefits • Medical, Dental and Vision Insurance • Generous Paid Time Off options, including Vacation, Sick time, plus national holidays including Heritage Days, and Summer and Winter Breaks • 401(k) match and annual company contribution • Company paid life insurance • Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions • Long Term Incentive Plan for eligible positions • Referral bonus program Apply tot his job