Job Information
Axtria, Inc. Data Science COE - Associate Director (1132) in Berkeley Heights, New Jersey
The Company
Founded in 2010, Axtria is a global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and we work and lead passionately to improve their lives.
Technology innovation has been our winning differentiation, and we continue to leapfrog the competition with platforms that deploy Artificial Intelligence and Machine Learning. With customers in over 30 countries, Axtria is one of the biggest global commercial solutions providers in the Life Sciences industry. We continue to win industry recognition for growth and are featured in some of the most aspirational lists – INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.
Axtria Data Science CoE
At the Axtria Data Science Center of Excellence (CoE), we are on a mission to harness the power of AI and GenAI to revolutionize patient outcomes within the life sciences industry. Our dedicated team specializes in the full lifecycle development and deployment of AI and GenAI applications in Commercial, Medical and R&D organizations. Through innovative solutions and a commitment to pushing boundaries, we strive to positively impact patient well-being and drive meaningful advancements in the life sciences industry. We are a transparent, collaborative, and fast-paced organization with an employee-first philosophy that promotes self-growth.
The Role
As an Associate Director within Axtria’s Data Science COE you will have the responsibility to apply AI/GenAI and data science to solve business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing, Medical Affairs and/or Clinical.
These areas include but are not limited to:
Provider/account Segmentation, Targeting, Promotion Response Modeling, Marketing Mix Optimization, Digital Analytics.
MLOps
GenAI development and industrialization
This role has a team management component but will be expected to be a hands-on leader/delivery champion. This role reports to the Data Science – COE Executive.
The location is Berkeley Heights, NJ and has a hybrid model of 3 days onsite.
U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Flexibility to travel to clients and those willing to relocate to greater NY/NJ also considered.
Key Responsibilities
Collaborate with internal and client stakeholders to understand business objectives and requirements for AI, GenAI and data science projects.
Design and develop solutions using AI and GenAI to predict, analyze and summarize key business metrics and trends, optimize customer experience, and improve business outcomes.
Conduct exploratory data analysis to identify patterns, trends, and relationships in the data.
Select and apply appropriate modeling techniques, such as regression, clustering, bagging, boosting, neural networks, and deep learning algorithms.
Design and develop GenAI applications using large language models, vector databases and prompt engineering.
Use MLOps and LLMOps frameworks to implement AI and GenAI models in production environments e.g. in AWS or Azure.
Coach team members to clean, preprocess, and transform large datasets to prepare them for model development.
Coach data science teams on evaluating and selecting appropriate modeling methodologies to optimize performance and adoption.
Validate and refine models using various evaluation techniques, including cross-validation, hypothesis testing, and performance metrics.
Interpret model results and present findings to technical and non-technical stakeholders in a clear and concise manner.
Collaborate with data engineers to ensure seamless integration of models into production systems.
Stay up to date with industry trends and advancements in AI/GenAI and data science methods.
Flexibility to travel and/or relocate within the US as per project requirements.
Required Experience/Skills
10+ years of professional industry experience
Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or a related discipline.
Strong proficiency in statistical analysis and modeling techniques, such as linear regression, logistic regression, decision trees, random forests, clustering, deep learning algorithms, boosting, text mining and NLP.
Proficiency in programming languages such as Python and in Python packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib.
Solid understanding and experience with database systems and SQL for data retrieval and manipulation.
Strong problem-solving and analytical skills, with the ability to translate business requirements into actionable models.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
Preferred Qualifications
Master’s or advanced degree in a quantitative field highly preferred.
Proven experience in developing and implementing predictive models (MLOps) in cloud environments such as AWS and Azure is highly preferred.
Familiarity or work experience in the Pharmaceutical or Life Science industry is highly preferred.
Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure).
Experience of working in large teams and using collaboration tools like GIT, Jira, and Confluence.
Experience in leveraging Patient data/ Claims data/ Patient Analytics.
Experience as a hands-on contributor to client work, including ability to run a presentation or own a portion of client facing work.
Adaptable and agile skills while working in a fast-paced environment.
Ability to conceptualize, negotiate and sell ideas internally and externally.
The exact nature of duties, level of role as well as the salary and compensation package will be commensurate with experience and salary history.
Axtria is an EEO/AA employer M/F/D/V. We offer attractive performance-based compensation packages including salary and bonus. Comprehensive benefits are available including health insurance, flexible spending accounts, and 401k with company match. Immigration sponsorship will be considered.
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