Senior Data Scientist - R&D Oncology

AstraZeneca - New York - Job Description Do you have expertise in, and passion for, Data science? Would you like to apply your expertise to impact Digital Health in a company that follows the science and turns ideas into life changing medicines? Then AstraZeneca might be the one for you! At AstraZeneca, we work together to deliver innovative medicines to patients across global boundaries. We make an impact and find solutions to challenges. We do this with integrity, even in the most difficult situations, because we are committed to doing the right thing. About AstraZeneca in Gaithersburg, MD Our Gaithersburg campus employs more than 3,500 experts in our field and is only a short drive from Washington, DC. This modern and vibrant scientific campus is the home of R&D and Oncology in the US. Here, we play host to some of the most cutting-edge technology and lab spaces, all designed to inspire collaboration and cross-functional science. This is where you'll find newly-designed, activity-based work spaces to suit a variety of working styles while increasing collaboration between teams. What does the AstraZeneca Gaithersburg site have to offer? State-of-the-Art research spaces and open seating floor plan Free and plentiful garage parking, where you can find electric car charging stations and take advantage of car detailing services Award-winning café that offers a variety of food options, including a Starbucks café, along with an onsite dietitian and a number of wellness programs Outdoor patio area for employee events and socials during the warmer months Free fitness center with a variety of equipment, plus classes and personal training Game rooms and areas that provide fun board games, bocce ball court, arcade games, and ping-pong and foosball tables Onsite recharge room to relax and refresh during the workday Library that allows employees to peruse scientific articles, news and world events Bike racks and Bike Repair Service Walking trails around campus Convenient onsite amenities including dry-cleaning services, Health & Wellness Center, mother's rooms, and more to meet employee everyday needs And more! We're a full-service campus that encourages collaboration while providing opportunities for recreation. The Digital Health Oncology Data Science Team aims to transform the patient experience and clinical trial process. We will do so by deploying digital solutions to clinical trials and in the real world to decrease patient burden. The approach the team takes will incorporate clinical trial data, Real World Evidence (RWE) data, clinical free text, medical imaging, Patient Reported Outcomes (PROs), and device data to define new digital approaches to addressing the pressing problems in Oncology. The team is looking for a Senior Data Scientist to specialize in innovative Natural Language Processing (NLP) and Natural Language Understanding (NLU) approaches to address patient burden. This role will work closely with stakeholders and the team to develop innovative digital approaches to reduce patient burden in clinical trials and the real-world setting. This Data Scientist will also work closely with the DH Oncology Team to develop novel approaches to converting clinical freetext and patient narrative to actionable clinical concepts and insight. Another area of interest is NLP model interpretability or explainability in the context of patient clinical data and narrative. Examples of projects the team works on include machine learning models for developing digital biomarkers, patient risk stratification for clinical trials, new algorithms for survival analysis, approaches to quantitatively analyze wearable data, linking of medical imaging data with 'omics and longitudinal outcomes to identify and/or validate new drug targets, and much more! Typical Accountabilities Provides advanced data science expertise to AstraZeneca projects and recommends data science solutions. Delivers advanced data science solutions to AstraZeneca projects, appropriately communicating with non-technical stakeholders. Works within established frameworks to deliver a variety of tasks that support projects in meeting their objectives. Independently keeps own knowledge up to date and learns from senior team members, proposing appropriate training courses for personal development. Reviews working practices and ensures non-compliant processes are escalated Ensures own work is compliant within Clinical Development. Collaborate in a multidisciplinary environment with world leading clinicians, data scientists, biological experts, statisticians and IT professionals. Education, Qualifications, Skills and Experience Essential M.Sc. degree in rigorous quantitative science (such as mathematics, computer science, engineering) Practical software development skills in standard data science tools: Python, Agile, Code versioning (bitbucket/git), UNIX skills Experience with Natural Language Processing (NLP) techniques: experience with VSM models & basic NLP techniques (word2vec, fasttext), web scraping, experience with NLP models in tensorflow or pytorch Knowledge of range of mathematical and statistical modelling techniques, and drive to continue to learn and develop these skills. Minimum 2+ years of industry experience or post-doctoral work. Desirable Ph.D. degree in rigorous quantitative science (such as mathematics, computer science, engineering) Experience within the pharmaceutical industry Communication, business analysis, and consultancy AWS experience (provisioning resources required for analytics, infrastructure as code is a bonus) Advanced NLP models (BERT-derived, gpt-3), experience with biomedical ontologies and clinical text, sentiment analysis, acoustic analysis, text-to-speech ML models Data visualization (interactive dashboards w/ DASH & static visualization) Ph.D. degree in rigorous quantitative science (such as mathematics, computer science, engineering) Experience within the pharmaceutical industry Communication, business analysis, and consultancy AWS experience (provisioning resources required for analytics, infrastructure as code is a bonus) Advanced NLP models (BERT-derived, gpt-3), experience with biomedical ontologies and clinical text, sentiment analysis, acoustic analysis, text-to-speech ML models Why AstraZeneca? At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognising their potential. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we're opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together. Interested? Come and join our journey. So, what's next? Are you already imagining yourself joining our team? Good, because we can't wait to hear from you. Where can I find out more? Our Social Media, Follow AstraZeneca on LinkedIn Follow AstraZeneca on Facebook Follow AstraZeneca on Instagram... - Permanent - Full-time

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