Posted on 
Jun 6, 2024

Software Engineer, Emerging Products (AI/LLM)

Sourcegraph
Sourcegraph
Sourcegraph
Series D
101-250
Software, Security & Developer Tools

Sourcegraph is a code intelligence platform that makes it easy to read, write, and fix code–even in big, complex code bases.

Job Description

About Formation Bio

At Formation Bio, we are building the pharma company of the future , redefining drug development with our proprietary, tech-driven platform, focused on bringing new treatments to patients faster and more efficiently.

At Formation Bio we license clinical stage drug assets and develop them in-house using our proprietary, technology-driven platform. Over the past few years, we have been able to significantly expedite the drug development process, evidenced by our acceleration of over 300 clinical trials and reducing trial durations by up to 50%. This innovation translates to getting life-saving drugs to market 1-3 years faster, where we specialize in partnering with and nurturing in-house clinical-stage drugs. Our diverse team of experts come from across multiple industries, combining the best of tech and pharma talent.

Join our culture of innovation where your work directly contributes to transforming patient care in areas such as rheumatology, dermatology, CNS, and cardiometabolic diseases. Our dynamic environment blends advanced technology with strategic drug development, speeding up the delivery of new treatments. Here, every role plays a part in our mission to bring new treatments to patients faster and more efficiently.

About the Position

As a Software Engineer supporting Emerging Products, you will play a key role in shaping the future of drug development at TrialSpark. This position involves shaping the development of innovative software integrating technologies such as AI and Large Language Models (LLMs) to accelerate the drug development process.

In this role, you will collaborate closely with engineers, product managers, and domain experts in the drug development field to build and implement systems that will significantly enhance the capacity of teams to make strategic and operational drug development decisions swiftly and effectively.

This position is ideal for the entrepreneurial-minded engineer who is passionate about leveraging technology for meaningful and impactful applications. Your expertise in software development will be instrumental in driving TrialSpark’s mission to bring new treatments to patients faster and more efficiently.

Responsibilities

  • Participate in the design, development, and deployment of software solutions that leverage AI and LLM technologies in the strategic drug development process.
  • Collaborate with cross-functional teams, including product managers and domain experts, to build and iterate on innovative features and products.
  • Ensure the scalability, security, and performance of our software systems.
  • Rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve our software solutions in alignment with strategic objectives in drug development.
  • Work with a team of engineers and stakeholder to deliver high quality, innovate products, and to iterate quickly and efficiently on new features.
  • Act as an internal evangelist for use of AI and LLMs, providing expert guidance and insights to other teams within the organization.

About You

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Minimum of 2 years of experience in software development, with a demonstrated ability to thrive in ambiguous and rapidly-changing environments, with experience in launching and scaling of new products, especially in a 0-1 setting.
  • Exceptional collaboration and communication skills to effectively engage and work along stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences.
  • Experience with AI technologies, particularly in LLMs and machine learning.
  • Familiarity with cloud infrastructure (e.g., AWS, Azure, GCP) and the full end-to-end process of modern software deployment (e.g., containerization, CI/CD).
  • Experience in the pharmaceutical or biotech industry is a plus, but not required.

 

We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. We pay all employees competitively relative to the New York City market, regardless of their location. In compliance with NYC’s pay transparency law and in pursuit of pay equity and fairness, we publish salary ranges for all open roles at Formation Bio. The target salary range for this role is $153,000 - $200,000.

On top of base salary, we also offer equity, generous perks, location flexibility, and comprehensive benefits – learn more about them and our compensation philosophy here.

If this range doesn’t match your expectations, please still apply because we may have something else for you.

#LI-hybrid

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You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

 

About Formation Bio

At Formation Bio, we are building the pharma company of the future , redefining drug development with our proprietary, tech-driven platform, focused on bringing new treatments to patients faster and more efficiently.

At Formation Bio we license clinical stage drug assets and develop them in-house using our proprietary, technology-driven platform. Over the past few years, we have been able to significantly expedite the drug development process, evidenced by our acceleration of over 300 clinical trials and reducing trial durations by up to 50%. This innovation translates to getting life-saving drugs to market 1-3 years faster, where we specialize in partnering with and nurturing in-house clinical-stage drugs. Our diverse team of experts come from across multiple industries, combining the best of tech and pharma talent.

Join our culture of innovation where your work directly contributes to transforming patient care in areas such as rheumatology, dermatology, CNS, and cardiometabolic diseases. Our dynamic environment blends advanced technology with strategic drug development, speeding up the delivery of new treatments. Here, every role plays a part in our mission to bring new treatments to patients faster and more efficiently.

About the Position

As a Software Engineer supporting Emerging Products, you will play a key role in shaping the future of drug development at TrialSpark. This position involves shaping the development of innovative software integrating technologies such as AI and Large Language Models (LLMs) to accelerate the drug development process.

In this role, you will collaborate closely with engineers, product managers, and domain experts in the drug development field to build and implement systems that will significantly enhance the capacity of teams to make strategic and operational drug development decisions swiftly and effectively.

This position is ideal for the entrepreneurial-minded engineer who is passionate about leveraging technology for meaningful and impactful applications. Your expertise in software development will be instrumental in driving TrialSpark’s mission to bring new treatments to patients faster and more efficiently.

Responsibilities

  • Participate in the design, development, and deployment of software solutions that leverage AI and LLM technologies in the strategic drug development process.
  • Collaborate with cross-functional teams, including product managers and domain experts, to build and iterate on innovative features and products.
  • Ensure the scalability, security, and performance of our software systems.
  • Rapidly develop and iterate on proofs-of-concept to test new ideas and hypotheses to efficiently validate and evolve our software solutions in alignment with strategic objectives in drug development.
  • Work with a team of engineers and stakeholder to deliver high quality, innovate products, and to iterate quickly and efficiently on new features.
  • Act as an internal evangelist for use of AI and LLMs, providing expert guidance and insights to other teams within the organization.

About You

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
  • Minimum of 2 years of experience in software development, with a demonstrated ability to thrive in ambiguous and rapidly-changing environments, with experience in launching and scaling of new products, especially in a 0-1 setting.
  • Exceptional collaboration and communication skills to effectively engage and work along stakeholders from diverse disciplines and varying levels of technical expertise. Ideally, adept at translating complex technical concepts into clear, actionable insights for all audiences.
  • Experience with AI technologies, particularly in LLMs and machine learning.
  • Familiarity with cloud infrastructure (e.g., AWS, Azure, GCP) and the full end-to-end process of modern software deployment (e.g., containerization, CI/CD).
  • Experience in the pharmaceutical or biotech industry is a plus, but not required.

 

We offer competitive compensation because we want to hire the best people and reward them for their contributions to our mission. We pay all employees competitively relative to the New York City market, regardless of their location. In compliance with NYC’s pay transparency law and in pursuit of pay equity and fairness, we publish salary ranges for all open roles at Formation Bio. The target salary range for this role is $153,000 - $200,000.

On top of base salary, we also offer equity, generous perks, location flexibility, and comprehensive benefits – learn more about them and our compensation philosophy here.

If this range doesn’t match your expectations, please still apply because we may have something else for you.

#LI-hybrid


You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

 

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Hybrid
Hybrid