Data Analytics and AI/ML Solutions Architect
RTP, NC, United States
Biogen
Biogen is a leading global biotechnology company that pioneers science and drives innovations for complex and devastating diseases. Biogen is advancing a pipeline of potential therapies across neurology, neuropsychiatry, specialized immunology...Job Description
About This Role:
As an Analytics Lead, you will be an integral member of the PO&T IT Data Analytics team. Your primary responsibility will be to work with the relevant IT functions to create and deploy BI, AI and ML solutions that support our business users in supply chain, lab, quality, and manufacturing. You'll act as a bridge between IT teams and the business, 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 Analytics 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 BI/AI/ML techniques, positioning yourself as a cornerstone of Biogen's operational success.
This is a hybrid role based in Cambridge, MA or RTP, NC.
What You’ll Do
- Collaborate with data management and AI IT functions and manage projects to design, build, and optimize machine learning models and AI solutions to address complex business challenges. Manage MSP support teams for deployed solutions, ensuring their effective operation
- Implement and maintain Business Intelligence (BI) solutions, transforming raw data into actionable business insights.
- Serve as the IT System Owner for Posit R and JMP Statistical Analysis tools and collaborate with other data scientists, software engineers, and product teams to align analytics initiatives with strategic business goals.
- Work cross functionally and with the AI Capability Team to develop algorithms for tasks such as classification, regression, clustering, NLP, or computer vision. Integrate these models into production environments and ensure scalability, performance, and reliability.
- Lead requirements gathering and facilitate the testing, deployment, and support of analytics products.
- Work with DMA and AICT 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.
- 1-3 years’ experience in Generative AI.
- 2-4 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
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Business Intelligence Classification Clustering Computer Science Computer Vision Data analysis Data Analytics Data management Data visualization Deep Learning Engineering ETL Generative AI Linear algebra Machine Learning Mathematics ML models NLP NumPy Pandas Power BI Python PyTorch R Scrum Statistics Tableau TensorFlow Testing
Perks/benefits: Career development
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