Solutions Architect – Healthcare, Life Sciences

Solutions EngineerSolutions EngineerFull TimeRemoteTeam 10,001+Since 1993H1B SponsorCompany Site LinkedIn

Location

California

Posted

50 days ago

Salary

$152K - $241.5K / year

Postgraduate Degree3 yrs expEnglishAirflowETLNumpyPandasPythonPy TorchScikit LearnTensorflow

Job Description

• Partner with researchers and scientists to develop a keen understanding of their data challenges and scientific goals • Staying up on the state of the art in Generative AI and data engineering for scientific applications • Architect and implement high-performance ETL (Extract, Transform, Load) pipelines and data curation workflows • Be an industry leader with a vision of integrating NVIDIA technology into the end-to-end data lifecycle • Building, optimizing, and deploying complex machine learning and deep learning training workflows, ensuring data efficiency and model performance at scale

Job Requirements

MS or PhD in Computational Biology, Computational Chemistry, Computational Physics, Chemical Engineering, Biophysics, or Computer Science with strong applied experience in these domains (or equivalent experience)
3+ years of work-related experience in data science, machine learning engineering, or computational science
Proficient in scientific Python (Pandas, NumPy, Scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)
Experience with workflow management tools (e.g., Airflow, Nextflow) is essential
Strong background in molecular modeling, life sciences, and familiarity with biological data formats (e.g., SMILES, PDB, FASTA)
Excellent communication skills, particularly in the presentation of highly technical data strategies
Must enjoy interacting with forward-thinking people and bridging the gap between data engineering and scientific research.