AD Research- Data Science & Artificial Intelligence

Ridgefield, CT, United States, Connecticut

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Description

An advocate for AI/ML and computation-enabled drug discovery and development, steering data-driven decision-making for an end-to-end approach towards the discovery and development of biotherapeutics. Contribute to improve the probability of success in our drug discovery process, with a broad focus on emerging science and technology. In close collaboration with Biotherapeutics leadership, scientists, our internal partners as well as external collaborators- universities, pharma, etc.; the incumbent identifies and executes AI use cases and provides in-depth technical expertise as needed. Be a strong proponent of digital transformation using AI within Biotherapeutics organization.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

Duties & Responsibilities

•    Lead the Data Science and AI efforts to support the discovery and development of novel biotherapeutics. 
•    Responsible for identification and execution of AI use cases with Biotherapeutics Scientists, RIX, gCBDS, Digital IU, BI X and IT, establish and maintain AI use case portfolio within Global Biotherapeutics Research. Monitor progress within the portfolio towards the Global Biotherapeutics Research digital ambitions. 
•    Collaborate with global cross-functional teams to integrate AI insights into the pipeline, fostering a data-driven approach to innovation in biotherapeutics.
•    Collaborate with cross-functional teams to identify and prioritize data science initiatives.
•    Stay abreast of the latest AI/ML advancements externally and continuously seeking collaboration opportunities to apply them within the biologics field to push the boundaries of what's possible in drug discovery.
•    Integrate science, medicine, financial, regulatory, legal, competitive, and operational aspects to lead interdisciplinary team to make recommendations to Senior Management. 
•    Requires management of timely and clear communication and interfaces with internal and external domestic and foreign academic institutions and companies.
•    Compliance with regulations, laws, and guidelines. Adheres to the company code of conduct and values.
•    Mentor and/or manage data scientists and bioinformaticians.

Requirements

•    PhD in Biology, Pharmacology, Computer Science, Computational Biology, Engineering or relevant discipline with at least five (5) years of postgraduate experience or Masters with (7) years.
•    Strong programming skills in languages such as Python, R, or Java.
•    Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
•    Proficiency in data visualization and statistical analysis tools
•    Deep understanding of data science, machine learning, and artificial intelligence, as well as a strong background in biology or biochemistry. Industry and project/change management experience highly desired.
•    Ability to ask critical scientific questions and critiques devised hypotheses.
•    Self-driven, attention to detail, conscientious, high sense of accountability 
•    Team Player with a Strong ‘influence without authority’ skills
•    Excellent communication and interpersonal skills, with the ability to work effectively in a collaborative environment.

Eligibility Requirements:
•    Must be legally authorized to work in the United States without restriction.
•    Must be willing to take a drug test and post-offer physical (if required).
•    Must be 18 years of age or older.

Compensation Data

This position offers a base salary typically between $170,000 and $269,000.  The position may be eligible for a role specific variable or performance-based bonus and or other compensation elements.  For an overview of our benefits please click here. 

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Category: Research Jobs

Tags: Biochemistry Biology Computer Science Data visualization Drug discovery Engineering Java Machine Learning Pharma PhD Python PyTorch R Research Scikit-learn Statistics TensorFlow

Perks/benefits: Career development Competitive pay Salary bonus

Region: North America
Country: United States

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