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Company

Original Job Post

BioSpace · 3 days ago

Director, AI Strategy for Biologics

Boston, MA

Full-time

Onsite

Director

$169K/yr - $266K/yr

10+ years exp

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Comp. & Benefits

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Responsibilities

Lead the integration and advancement of AI technologies in biologics discovery.

Develop and implement strategic AI initiatives to enhance biologics research and lab processes.

Oversee AI-driven projects, ensuring alignment with company goals and timely delivery.

Foster collaboration with internal teams and external partners.

Build and mentor a high-performing AI and data science team.

Identify and evaluate academic / industry collaborations and serve as the point of contact with external partners/ stakeholders.

Proactively assess external opportunities and internalize novel methods and tools.

Foster a culture of innovation and scientific excellence within the drug discovery team, promoting collaboration, knowledge sharing, and continuous learning.

Oversee the design and execution of experiments, data analysis, and interpretation to guide decision-making and further learning and optimize drug discovery efforts.

Stay abreast of the latest advancements in drug discovery, emerging technologies, and industry trends, and apply this knowledge to enhance drug discovery strategies.

Provide guidance and mentorship to team members, fostering their professional growth and development.

Communicate and explain strengths and weaknesses of complex computational models and ML techniques to broad scientific audience from diverse disciplines.

Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.

Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external.

Qualification

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Machine LearningDeep LearningAI-driven projectsPharmaceuticalBiotechnologyBiotherapeutic Design

Required

PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 10+ years experience, or MS with 16+ years experience, or BS with 18+ years experience

A minimum of 10 years of experience applying machine learning/ deep learning approaches in the life sciences

Proven track record of leading AI-driven projects in a pharmaceutical or biotechnology setting

Significant depth of expertise in at least one field relevant to the job (for example, machine learning, biotherapeutic design, etc.)

Benefits

Medical insurance

Dental insurance

Vision insurance

401(k) plan and company match

Short-term and long-term disability coverage

Basic life insurance

Tuition reimbursement program

Paid volunteer time off

Company holidays

Well-being benefits

Up to 80 hours of sick time per calendar year

Up to 120 hours of paid vacation for new hires

Company

BioSpace

BioSpace is the leading online community for industry news and careers for life science professionals.

Founded in 1988

San Francisco, California, USA

11-50 employees

http://www.biospace.com/

H1B Sponsorship

BioSpace has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2020 (2)