1910 Genetics is a Series A stage biotechnology company that is pioneering a novel Input-Transform-Output (ITO) platform as the first ever horizontal AI infrastructure for drug discovery.
In a crowded space with hundreds of AI drug discovery companies, 1910’s ITO platform is differentiated by:
- Modality agnostic drug discovery: our platform is capable of designing both small molecule and large molecule therapeutics across all disease areas, with an initial focus on neuroscience, oncology, and autoimmune diseases.
- Proprietary massive multimodal data, which overcomes the data scarcity problem that prevents frontier AI models from being utilized for drug discovery.
- Multi-AI agent systems that include a robust collection of frontier AI/ML models, each of which works in a task-oriented manner to achieve the multi-parameter optimization problem of drug discovery and development.
- A state-of-the-art (SOTA) fully-automated, high throughput wet laboratory in the premier Boston Seaport District for both data generation for AI model training as well as validation of the safety and efficacy of drug candidates that are outputted by our frontier AI models.
- An unprecedented partnership with Microsoft, which positions 1910 as the only biotech/pharma company leveraging Azure Quantum Elements, a groundbreaking, AI-driven, high performance computing (HPC) cloud architecture for advanced AI.
- Bespoke conversational AI chatbots that provide a customer friendly UI/UX to access our platform for specific drug discovery tasks.
- Being the only biotech company helping pharma companies integrate 6 core areas of AI infrastructure.
About the Role
As an AI company, data is the most differentiating and valuable aspect of the 1910 platform; the Chief Data Officer will be dedicated to harnessing and leveraging that data.
Leading AI
- Responsible for translating 1910's corporate strategy into a unified data strategy that treats data as a company's most important asset.
- Be an expert in building computational science platforms and enabling digital infrastructure.
- Lead computational theoretical chemistry, computational medicinal chemistry, computational biology, bioinformatics, and digital biology.
- Work cross-functionally across all elements of 1910's Input-Transform-Output (ITO).
- Oversee groups that are generating data, support groups that are transforming the data using AI, and support groups that are validating the outputs of the AI in the wet lab.
Leading Data Management
- Responsible for harnessing 1910’s data, whether it’s generated or acquired, and converting that data into actionable insights, leading to valuable impact.
- Determine how best to manage and sort data for cross-functional technical teams to access and make data-driven decisions.
- Make strategic decisions from collected data to make 1910 more agile.
- Develop and implement a comprehensive data strategy that includes all aspects of data quality, data governance, data management, information strategy, and data science.
- Lead the establishment and execution of data management practices to support research and development, clinical trials, and business operations.
- Partnering with the Director of IT, design and enforce data governance policies and procedures to ensure data integrity, quality, and security.
- Support drug discovery, development, and personalized medicine through data-driven research and analysis.
- Collaborate with scientific, clinical, and operational teams to ensure data needs are met and data-driven decisions are supported.
- Stay updated on emerging data technologies and methodologies, integrating innovative solutions to enhance data capabilities.
- Drive the adoption of new tools and technologies that advance the company's data management and analytical capabilities.
- Teach the importance of data literacy to 1910 by providing training and support to ensure team members understand and leverage data effectively.
Qualifications
- PhD in computational sciences or life sciences, with a bachelor's in data science, bioinformatics, computer science, or a related field.
- 5 years of experience as Chief Data Officer or Chief Digital Officer in an AI-driven techbio company, leading computational sciences (computational theoretical chemistry, computational medicinal chemistry, computational biology, bioinformatics, and digital biology) and supporting digital infrastructure systems (biological/lab automation, software automation, workforce automation, IT, informatics, security).
- 15 years of hands-on experience as an expert in building computational science platforms and enabling digital infrastructure.
- Demonstrated experience in leading the following functions: AI Research, machine learning, software engineering, data engineering, IT, and lab automation.
- Demonstrated experience in collaborating with cross-functional teams and teams where you do not have direct authority (AI Research, machine learning, biology, medicinal chemistry, pharmacology, pre-clinical sciences, and clinical development).
- Excellent leadership, communication, and collaboration skills.
- Ability to translate complex data concepts into actionable business strategies.
- Talent magnet who thrives in hiring, retaining, mentoring, coaching, and professionally developing top 1% talent.
- Excited about working onsite 5 days a week and leading a team that is onsite 5 days a week.
Diversity and Inclusion (1910’s Promise)
At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
Benefits and Perks
- Competitive compensation package.
- Generous vacation and parental leave.
- Super cool team building activities.
- Great colleagues.
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