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Data Analytics and AI/ML Solutions Architect

AT Biogen
Biogen

Data Analytics and AI/ML Solutions Architect

Cambridge, MA

Job Description

About This Role

As a Data Analytics and AI/ML Solutions Architect, you will be an integral member of the PO&T IT Data Analytics team. Your primary responsibility will be to develop and deploy advanced AI and ML solutions that support our business users in supply chain, lab, quality, and manufacturing. Your role serves as a tactical and strategic IT liaison to the business ,through building and fostering partnerships and providing recommendations to address and resolve business issues, improve business processes and leverage Gen AI /ML techniques to deliver value to the PO&T organization. You will manage the full lifecycle of AI/ML solutions, from conception to deployment, while ensuring these solutions drive value and efficiency within the PO&T organization. As a key player in our data-driven initiatives, you will be crucial to the transformation of our business processes through innovative AI/ML techniques, positioning yourself as a cornerstone of Biogen's operational success.

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What You’ll Do

  • Manage projects and teams to design, build, and optimize machine learning models and AI solutions to address complex business challenges.
  • Manage MSP support teams for deployed AI/ML solutions, ensuring their effective operation.
  • Design, develop, and maintain Business Intelligence solutions, transforming raw data into actionable business insights.
  • Collaborate with other data scientists, software engineers, and product teams to align AI initiatives with strategic business goals.
  • Implement cutting-edge algorithms for tasks such as classification, regression, clustering, NLP, or computer vision.  Integrate these models into production environments and ensure scalability, performance, and reliability.
  • Manage development tools and processes to monitor model performance, updating models as needed to maintain accuracy and effectiveness.
  • Lead requirements gathering and facilitate the testing, deployment, and support of analytics products.
  • Collaborate closely with IT System Owners to understand and develop data sets for AI/ML models.
  • Work with DMA teams on data integration, data science platforms, and data visualization initiatives.
  • Plan and manage multiple parallel enhancement projects, coordinating with various teams to prioritize tasks and resources.
  • Assign tasks to project teams, overseeing the delivery and approving project deliverables.

Qualifications

Who You Are

You are an innovative problem solver with a passion for data and technology. Your analytical mindset allows you to see through complex data and translate it into strategic business solutions. You are a collaborator at heart, knowing that the best outcomes are achieved through teamwork and open communication. You are someone who takes initiative, comfortable with making decisions independently, yet you know when to seek guidance. You value continuous learning and stay updated on the latest industry trends to ensure the solutions you design are cutting-edge and impactful.

Required Skills

  • Bachelor’s degree in computer science, Mathematics, Engineering, Information Technology or relevant field.
  • 5-7 years’ experience with Machine Learning and Business Intelligence.
  • 2-3 years’ experience in Generative AI.
  • 3-4 years' experience in Data Visualization tools such as PowerBI,Tableau etc.
  • Proficiency in programming languages such as Python, R and libraries such as TensorFlow, PyTorch, NumPy, Pandas.
  • Experience with Machine Learning techniques(Supervised, Unsupervised, Deep Learning, Model Evaluation etc.)
  • Knowledge of data preprocessing and data analysis.
  • Strong project management and technical leadership skills.

Preferred Skills

  • Strong mathematical foundations in linear algebra and statistics.
  • Experience working in SAFe Agile/SCRUM project methodologies.
  • Familiarity with continuous integration and continuous deployment practices.
  • Experience with cloud data solutions, particularly AWS.
  • Experience with ETL and data management techniques.

Additional Information

"Diversity is key for the survival of our ecosystem. I believe it is the single most important factor for a balanced flourishing environment where everyone thrives.” Guy Hadari – Chief Information Officer-

Why Biogen?

We are a global team with a commitment to excellence, and a pioneering spirit. As a mid-sized biotechnology company, we provide the stability and resources of a well-established business while fostering an environment where individual contributions make a significant impact. Our team encompasses some of the most talented and passionate achievers who have unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply. Achieving Excellence. Changing Lives.

At Biogen, we are committed to building on our culture of inclusion and belonging that reflects the communities where we operate and the patients we serve. We know that diverse backgrounds, cultures, and perspectives make us a stronger and more innovative company, and we are focused on building teams where every employee feels empowered and inspired. Read on to learn more about our DE&I efforts.

All qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, marital status, race, color, national origin, ancestry, ethnicity, religion, age, veteran status, disability, genetic information or any other basis protected by federal, state or local law. Biogen is an E-Verify Employer in the United States.

 

Client-provided location(s): Cambridge, MA, USA
Job ID: f4e761fa-718e-48e7-83eb-9eab96588b25
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • FSA
    • HSA
    • On-Site Gym
    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • Mental Health Benefits
    • Fitness Subsidies
    • HSA With Employer Contribution
  • Parental Benefits

    • On-site/Nearby Childcare
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
  • Work Flexibility

    • Remote Work Opportunities
    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Happy Hours
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Leave of Absence
    • Personal/Sick Days
    • Paid Holidays
    • Paid Vacation
    • Sabbatical
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • Relocation Assistance
    • Performance Bonus
    • Company Equity
    • 401(K) With Company Matching
    • Stock Purchase Program
    • Financial Counseling
  • Professional Development

    • Promote From Within
    • Access to Online Courses
    • Lunch and Learns
    • Tuition Reimbursement
    • Internship Program
    • Leadership Training Program
    • Mentor Program
    • Shadowing Opportunities
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)