Pharmavite

Associate Director, Medical Omnichannel Data Scientist (Remote)

Pharmavite$169K — $253K *
US-Anywhere
+ 2 other locationsRemote
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in data sciences or computer science with 4-6 years of relevant experience.
  • Experience with machine learning algorithms and data analytics modeling techniques.
  • Hands-on experience with Python, R, or similar modeling and simulation software.
  • Strong knowledge of natural language processing (NLP) and unstructured data analysis.
  • Excellent interpersonal and communication skills for cross-functional collaboration.
  • Demonstrated experience in implementing machine learning projects end-to-end.
  • Agile skills and familiarity with healthcare industry datasets.

Responsibilities

  • Explore and analyze pharmaceutical data and integrate it from multiple sources.
  • Apply NLP to extract insights from unstructured medical texts.
  • Identify key data drivers and create visualizations for communication.
  • Implement predictive analytics models to generate actionable insights.
  • Collaborate with MLOps engineers to build and deploy predictive models.
  • Design recommendation systems to personalize stakeholder communications.
  • Optimize omnichannel campaign strategies using data-driven insights.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Company-provided life insurance and disability benefits.
  • Tuition reimbursement and student loan assistance programs.
  • Generous 401(k) matching contributions.
  • Flexible time off and paid leave options.
  • Paid holidays and various employee assistance programs.
Full Job Description
About the Role

The Omnichannel Center of Excellence is dedicated to driving innovation, building, and delivering capabilities that enhance Otsuka's opportunity to make an impact in the lives of those we serve. We achieve this through our relentless focus on customer centricity, patient empathy, expertise in enabling pathways for disease education and awareness of management options, and our unwavering commitment to supporting access to treatment.

We are looking for a Medical Omnichannel Data Scientist, Medical Omnichannel with strong expertise in artificial intelligence, encompassing machine learning, data mining, and information retrieval. This position specifically entails the conceptualization, prototyping and development of next generation advanced analytics model-based decision engines and services. The ideal candidate will engage closely with key stakeholders to understand strategic objectives and leverage advanced data analytics and machine learning techniques to enhance communication strategies, ensuring seamless and personalized interactions with healthcare professionals (HCPs) and key opinion leaders (KOLs).

Job Expectations/Responsibilities:

Data Integration & Management
  • Explore and analyze common pharmaceuticals data (e.g., claims) as well as novel data sets based on lab and EHR systems. Work with Omnichannel Data Engineer to Integrate data from multiple sources (e.g., CRM systems, social media, email platforms) to create a unified view of stakeholder interactions.
  • Apply natural language processing (NLP) to extract insights from unstructured medical texts, such as clinical notes or call center transcripts.
  • Identifying relevant data drivers (features) that can inform decision making closely tied with strategy and creating visualizations to help communicate findings.


Advanced Analytics & Modeling
  • Implement advanced analytics models, including predictive analytics and clustering algorithms, to generate actionable insights and track trends across various channels.
  • Work with Omnichannel ML/Ops engineer to build, test, and deploy production-grade predictive models and algorithms as part of the Omnichannel COE decision engine to meet business needs, including optimization of sales activities and predicting drivers of customer behavior.
  • Create repeatable, interpretable, dynamic, and scalable models that are seamlessly incorporated into analytic data products and match the needs of Otsuka's growing portfolio.
  • Collaborate on MLOPS life cycle experience with MLOPS workflows traceability and versioning of datasets. Build and maintain familiarity with Otsuka Machine Learning tech stack including AWS, Kubernetes, Snowflake, and Dataiku


Omnichannel Optimization
  • Design and deploy recommendation systems to tailor communications based on stakeholder preferences and behaviors. Utilize machine learning algorithms (e.g., collaborative filtering, content-based filtering) to enhance personalization efforts.
  • Analyze the performance of omnichannel campaigns (email, SMS, in-app, HCP portals, etc.) to identify high-impact touchpoints and optimize engagement strategies. Use A/B testing and uplift modeling to evaluate the effectiveness of different communication strategies and content types.


Stakeholder Collaboration
  • Effectively communicating analytical approach to address strategic objectives to business partners.
  • Work closely with medical affairs, marketing, and IT teams to ensure alignment and integration of omnichannel strategies. Provide technical guidance and support to cross-functional teams on data-related projects.
  • Stay updated with emerging industrial trends (Conferences and community engagement) and develop strategic industry partnerships on Omnichannel analytics to strengthen Otsuka's analytical methods and outcomes.
  • Model Otsuka's core competencies (Accountability for Results, Strategic Thinking & Problem Solving, Patient & Customer Centricity, Impact Communications, Respectful Collaboration & Empowered Development) that define how we work together at Otsuka. Key matrixed partners included: Brand Marketing, Creative / CRM / Digital agencies, Media, Market Research, Analytics, Otsuka Information Technology (OIT), Sales Operations, and Medical/Regulatory/Legal integrated business partners.


Minimum Qualification:
  • Bachelor's degree in data sciences, computer science and 4-6 years of relevant experience


Preferred Knowledge, Skills, and Abilities:
  • Demonstrated experience with scripting and implementing data analytics algorithms and models. Hands on experience using a modeling and simulation software (e.g. Python, Matlab, R, NONMEM, SAS, S-Plus, etc.) is a plus.
  • Knowledge/Experience in the usage of machine learning/AI tools in life science area(s) and handling life science datasets is preferred.
  • Excellent interpersonal, technical, and communication skills to lead cross-functional teams.
  • Profound grasp of Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop.
  • Have implemented machine learning projects from initiation through completion with particular focus on automated deployment and ensuring optimized performance.
  • Agile skills and experience
  • Experience in Healthcare (esp. US) industry is a plus.


Competencies
Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change.
Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business.
Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders.
Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka.
Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals.
Empowered Development - Play an active role in professional development as a business imperative.

Minimum $169,222.00 - Maximum $253,000.00, plus incentive opportunity: The range shown represents a typical pay range or starting pay for individuals who are hired in the role to perform in the United States. Other elements may be used to determine actual pay such as the candidate's job experience, specific skills, and comparison to internal incumbents currently in role. Typically, actual pay will be positioned within the established range, rather than at its minimum or maximum. This information is provided to applicants in accordance with states and local laws.

Application Deadline: This will be posted for a minimum of 5 business days.

Company benefits: Comprehensive medical, dental, vision, prescription drug coverage, company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance, tuition reimbursement, student loan assistance, a generous 401(k) match, flexible time off, paid holidays, and paid leave programs as well as other company provided benefits.

Come discover more about Otsuka and our benefit offerings; https://www.otsuka-us.com/careers-join-otsuka.

Disclaimer:

This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary.

About Pharmavite

Pharmavite is a dietary supplements company that produces vitamins, minerals, and other nutritional supplements. The company was founded in 1971 and is headquartered in Northridge, California. Pharmavite's products are sold under several brand names, including Nature Made, a leading brand of vitamins and supplements in the United States. The company is committed to sustainability and has implemented several initiatives to reduce its environmental impact, such as using renewable energy and reducing waste. Pharmavite is a subsidiary of Otsuka Pharmaceutical, a Japanese pharmaceutical company.
Learn more about Pharmavite
Size
2,000 employees
Industry
Founded
1971

Similar Jobs

More Jobs at Pharmavite

More Pharmaceuticals & Biotech Jobs

Find similar Associate Director, Medical Omnichannel Data Scientist (Remote) jobs: