Lead Research Scientist, NLP

We are developing the technology to use electronic health records (EHR) data in clinical trials from the ground up. Billions of dollars are being spent every year to look at the EMR data, interpret it and then enter it into some forms with discrete fields so that researchers can then analyze patient journeys. We are working towards automating it using our integration engine and natural language processing platform. It's an exciting time for us given the recent advancements in healthcare interoperability as well as natural language processing. Our team is led by young, highly-optimistic founders who are former MIT and Adobe researchers, bringing a wealth of complementary expertise to the table. Since our founding two years ago, we've secured over $14 million in venture capital from investors like Lightspeed, Nexus, Y Combinator, and General Catalyst. In 2022 alone, we've grown our revenue by 8x, which is a testament to the effectiveness of our approach.

About Role

Triomics is pioneering a platform that will transform the way clinical data is managed in health research, and we are looking for a natural language processing researcher to build this technology. If you want to solve decades of inefficiencies in clinical research with some of the latest tools at your disposal, this role is cut out for you.

Our mission involves constructing natural language processing solutions from the ground up to tackle the untapped reservoir of patient data currently locked within EMR notes. Here at Triomics, we're bullish on the potential of large language models as the solution to unlock this goldmine of information.

Key Responsibilities:

1. Framing the healthcare data abstraction problems as grounded natural language processing problems and analyzing literature to make an informed decision about the final choice.

2. Conducting daring, cutting-edge research on large language models and even training them from scratch for the domain of healthcare

3. Exploring their potential to be used as large-scale healthcare data mining solutions and comparing them to the existing problem-specific models.

4. Work closely with the CTO to build these solutions from scratch, comparing them to human performance and publishing results in top-tier conferences and journals.

5. Working in tandem with AI engineers for the implementation of the solutions to these problems and helping them train/optimize/validate models for all the identified NLP problems.

6. Presenting the capabilities of everything we build in top conferences in the form of publications, research talks, and industry sessions.

7. Collaborating with the oncology informatics team, product team, and business team to prioritize the solutions and help software developers take these technologies live in products.

We are seeking individuals who possess the following qualities:

1. Consistent track record of publishing at high-impact conferences: Publications in conferences such as ICLR, NeurIPS, ICML, ACL, EMNLP

2. First-principles thinking ability: The ability to approach problems and situations using fundamental principles and ideas rather than relying on conventions and precedents.

3. High level of ownership: A proactive approach to responsibilities and a strong sense of accountability.

4. Aptitude and analytical skills: An ability to quickly understand complex concepts and apply problem-solving skills to find solutions.

5. Passion for healthcare and research: A genuine interest in and enthusiasm for healthcare and research, as well as a commitment to advancing the field.

Benefits:

1. Opportunities for career advancement to Chief AI Scientist or leadership role within 12-18 months

2. Performance-based increase in equity ownership

3. 20% variable pay structure

4. Comprehensive employee benefits including health insurance, 401(k) matching, and paid leave

5. Highly competitive salary and stock options grant