Posted Jul 10, 2026

Applied Scientist – NLP / Deep Learning

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Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Description: Applied Scientist – NLP / Deep Learning The Impact You’ll Make in this Role As a Data Scientist specializing in deep learning and medical document understanding, you will work at the forefront of healthcare AI, developing next-generation deep learning systems that understand complex clinical text. You will design, implement, optimize, train, and evaluate deep learning models in PyTorch, advancing state-of-the-art approaches in natural language understanding, representation learning, transformer architectures, and generative AI. You will collaborate closely with clinical domain experts, fellow data scientists, ML engineers, and product teams to transition research into scalable production systems. This role requires strong mathematical intuition, hands-on deep learning experience, and the ability to rapidly evaluate, implement, and extend emerging research. As a Data Scientist you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: How you will make an impact Scoping, designing, and developing NLP/NLU systems that support clinical understanding of medical documents and downstream healthcare workflows. Designing, implementing, training, and optimizing deep learning models in PyTorch, including transformer architectures, attention mechanisms, and modern neural networks for clinical text understanding. Developing neural representation learning approaches for medical text, including dense embeddings, semantic similarity, dense retrieval, and generative AI applications. Translating business and clinical requirements into mathematically sound machine learning formulations, experimental designs, and evaluation strategies. Processing, aligning, and enriching diverse structured and unstructured medical datasets for supervised, self-supervised, and generative learning. Implementing, debugging, and optimizing custom neural architectures, tensor operations, loss functions, training loops, and inference pipelines while ensuring scalable and reproducible experimentation. Understanding and mitigating model weaknesses, including bias, drift, hallucination behavior, robustness, calibration, and generalization. Designing experiments and performing rigorous error analysis to explain model behavior and communicate findings clearly to both technical and non-technical audiences. Deploying models into Solventum's cloud environment, partnering with ML engineering to ensure reliability, observability, scalability, and compliance within regulated healthcare systems. Staying current with emerging research in NLP, LLMs, representation learning, and deep learning, evaluating new methods and identifying opportunities to advance Solventum's AI initiatives. Your Skills and Expertise To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications: Master's degree or PhD in computer science, mathematics, or related fields or Bachelor’s degree with at least 5 years of IT experience Solid experience in Python especially in deep learning for text analysis and libraries such as PyTorch and Transformers Solid grasp of statistics and exploratory data analysis Experience building, training, and debugging deep learning models directly in PyTorch beyond high-level APIs. Strong mathematical foundation in linear algebra, optimization, probability, and machine learning. Additional qualifications that could help you succeed even further in this role include: Experience conducting research-driven NLP/NLU work involving representation learning, attention mechanisms, transformer architectures, or hybrid neural networks. Strong understanding of neural representation learning, embedding spaces, semantic similarity, dense retrieval, or representation learning techniques. Experience implementing custom neural architectures, tensor operations, training loops, optimization strategies, and model debugging in PyTorch. Hands-on experience adapting, fine-tuning, and evaluating LLMs using modern deep learning techniques. Experience with prompting, retrieval-augmented generation (RAG), or agentic AI frameworks is a plus. Ability to understand, reproduce, implement, and extend ideas from contemporary deep learning and NLP research literature. Ability to self-organize across multiple technical and business contexts while communicating complex findings with clarity and confidence. Familiarity with AWS, GitHub, CI/CD, MLOps, and scalable ML deployment practices. Experience with ETL of large-scale text using PySpark, Spark NLP, or distributed data processing frameworks. Experience extracting insights from complex clinical datasets and presenting those insights to varied audiences. Exposure to clinical coding systems or medical terminologies (e.g., ICD, CPT, SNOMED) is a plus. Work location: Remote Relocation Assistance: Not authorized Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status). Supporting Your Well-being Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later. Applicable to US Applicants Only:The expected compensation range for this position is $124,000 - $170,500, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers. Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains. Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County. Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly. Solventum Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here. Before submitting your application you will be asked to confirm your agreement with the terms. Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers’ toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy here applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. At Solventum, we create breakthrough solutions for our customers’ toughest challenges by pioneering game-changing innovations at the intersection of health, material and data science to change patients’ lives for the better — while enabling healthcare professionals to perform at their best.