Level

Iambic Therapeutics

Research Scientist II/Senior, Discovery Machine Learning

Iambic Therapeutics is hiring a Research Scientist II/Senior, Discovery Machine Learning in San Diego, United States. It pays $146k-$204k a year and Level rates it ; you can apply on Iambic Therapeutics.

Level's read on this job

  • Builds AI ●●●● is how Level rates this research scientist role: the job is building AI systems.
  • The posting mentions Python, Enchant and machine learning among its tools and skills.
  • Level classes it as a senior role.
  • Iambic Therapeutics has 29 other open roles on Level.

AI in this role

Train, fine-tune, and evaluate multimodal machine learning models for drug discovery and molecular property prediction as a Research Scientist.

pythonenchant
machine-learningdrug-discoverycomputational-chemistrystatistics

JOB SUMMARY

We are seeking skilled scientists to join our Discovery Machine Learning group at Iambic Therapeutics. In this role, you will be a key player in applying advanced ML techniques to support our drug discovery efforts and will be part of drug discovery teams pursuing important therapeutics across multiple indications. The work will include focus on our flagship machine learning models, including Enchant, our multimodal transformer model for predicting drug-target interactions and molecular properties. This role is based at our San Diego headquarters.

KEY RESPONSIBILITIES

  • Train, fine-tune, and evaluate machine learning models, assessing how they can best be leveraged in a drug-discovery setting and optimizing their performance

  • Partner with computational chemists, medicinal chemists and biologists to leverage ML insights for decision-making in high-throughput design-make-test-analyze cycles

  • Generate value, internally and for partners, from our machine learning models, and collaborate with other discovery teams to shape their use

  • Communicate results with internal drug discovery teams and machine learning scientists and externally with partners

  • Support the evolution of our machine learning models by gathering analytical feedback and delivering domain-driven guidance to the machine learning team

QUALIFICATIONS

Required:

  • PhD or equivalent degree in chemistry or another physical science with 3+ years of experience or commensurate degree and job experience. More junior candidates are welcome to apply, title will reflect experience.

  • Familiarity with using statistical analysis techniques to evaluate, troubleshoot, and adapt models in scientific contexts

  • Excellent written and verbal communication skills; must be able to articulate complex scientific concepts, technical challenges, and results clearly and concisely to diverse audiences.

  • Skills: Python programming, statistics, drug discovery

Strongly preferred:

  • PhD or equivalent degree in computational chemistry or machine learning in chemistry

  • 3+ years of experience working in a drug discovery project

ABOUT IAMBIC THERAPEUTICS

Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at iambic.ai.

MISSION & CORE VALUES

Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies.

PAY AND BENEFITS

We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.

How we rate this

Research Scientist II/Senior, Discovery Machine Learning at Iambic Therapeutics rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningDrug DiscoveryComputational ChemistryStatisticsPythonEnchant

Also common in research scientist jobs at this level

Pay

This job starts at
$146k
Typical research scientist job
$192k

This posting starts 24% below the typical research scientist job. See research scientist jobs

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where drug discovery was part of your work. What did you do?
  3. Tell me about a project where computational chemistry was part of your work. What did you do?
  4. Tell me about a project where statistics was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Machine learning, Drug Discovery, Computational Chemistry, Statistics, and Python. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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