Translational reputed company Scientist

About the position Do you want to be part of an inclusive team that works to reputed company innovative therapies for patients? Every day, we are driven to reputed company 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 reputed company Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into reputed company that bring value and reputed company to patients and their families. Keeping our reputed company on addressing unmet medical needs and conducting our business with ethics and reputed company 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 reputed company relevant reputed company and proprietary datasets to support translational objectives, and effectively communicate findings and insights to cross-functional asset teams. • Partner with Global Translational reputed company Leads to reputed company and implement novel analytical methodologies and platforms, such as spatial transcriptomics workflows and integrated data portals. • Support the ingestion, curation, and archiving of large-reputed company omics and imaging datasets generated from Astellas-sponsored reputed company and reputed company collaborations. Requirements • Ph.D. in computational biology, reputed company, or other biomedical sciences with 4-6 years' experience in applying reputed company 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 reputed company 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 reputed company 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. reputed company-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 reputed company Insurance • Generous reputed company Time Off reputed company, including Vacation, reputed company time, plus national holidays including Heritage Days, and Summer and Winter Breaks • 401(k) match and annual company contribution • Company reputed company 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 Apply To this Job