Epicrop Technologies Inc
Founder and CSO, EpiCrop Technologies and EpiMethyl Analytics
At Epimethyl Analytics, we seek to hire a software engineer or computer programmer to support advanced computational technologies in a healthcare-focused environment. The company's mission centers on advancing preventative healthcare by decoding genomic data to facilitate interventions before symptoms are evident, thereby improving treatment outcomes and quality of life.
The company offers a comprehensive platform for health insights applicable across various life stages, targeting partnerships with medical centers, pharmaceutical firms, and other providers to enhance diagnostics, drug discovery, and treatment protocols. This proprietary platform integrates signal detection, machine learning, and cloud computing to process genomic data and enable applications in diagnostics for several health conditions.
Salary will be commensurate with experience and skill level. Expert mentors will support your career growth. Together, we'll help you achieve meaningful goals and make a positive impact locally and globally. If you're ready for the challenge, we want you on our team.
Minimum qualifications
Bachelor’s, Master’s or PhD degree in computational sciences, such as computer science, data science, electrical engineering, mathematics, bioinformatics, or related discipline.
Previous experience in computer programming, particularly in Python GPU computation and cloud computing.
U.S. citizen / Green card holder
Core Technical Skills
Advanced proficiency in Python programming: object‑oriented programming, scripting and optimization techniques.
Vectorization and numerical computing with NumPy and SciPy.
GPU acceleration and parallel computing: CUDA, PyCUDA, Numba, cuML, CuPy.
Machine learning frameworks: TensorFlow, PyTorch, scikit‑learn.
Data analysis and manipulation: Pandas, Matplotlib, Seaborn.
Cloud computing and deployment: AWS, GCP, Azure, Docker, Kubernetes.
Distributed and big data processing: Dask, Apache Spark, PySpark.
Complementary Skills
Mathematical and statistical foundations: linear algebra, calculus, probability, statistics.
Software engineering practices: Git, pytest, agile methodologies.
Problem‑solving and analytical abilities.
Expected Responsibilities
Developing and optimizing machine learning algorithms for analyzing large‑scale genomic datasets.
Building scalable data pipelines and cloud‑based infrastructure to handle complex biological data.
Collaborating with interdisciplinary teams to translate research needs into robust software solutions for diagnostics, drug discovery, and personalized medicine protocols.
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
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The company offers a comprehensive platform for health insights applicable across various life stages, targeting partnerships with medical centers, pharmaceutical firms, and other providers to enhance diagnostics, drug discovery, and treatment protocols. This proprietary platform integrates signal detection, machine learning, and cloud computing to process genomic data and enable applications in diagnostics for several health conditions.
Salary will be commensurate with experience and skill level. Expert mentors will support your career growth. Together, we'll help you achieve meaningful goals and make a positive impact locally and globally. If you're ready for the challenge, we want you on our team.
Minimum qualifications
Bachelor’s, Master’s or PhD degree in computational sciences, such as computer science, data science, electrical engineering, mathematics, bioinformatics, or related discipline.
Previous experience in computer programming, particularly in Python GPU computation and cloud computing.
U.S. citizen / Green card holder
Core Technical Skills
Advanced proficiency in Python programming: object‑oriented programming, scripting and optimization techniques.
Vectorization and numerical computing with NumPy and SciPy.
GPU acceleration and parallel computing: CUDA, PyCUDA, Numba, cuML, CuPy.
Machine learning frameworks: TensorFlow, PyTorch, scikit‑learn.
Data analysis and manipulation: Pandas, Matplotlib, Seaborn.
Cloud computing and deployment: AWS, GCP, Azure, Docker, Kubernetes.
Distributed and big data processing: Dask, Apache Spark, PySpark.
Complementary Skills
Mathematical and statistical foundations: linear algebra, calculus, probability, statistics.
Software engineering practices: Git, pytest, agile methodologies.
Problem‑solving and analytical abilities.
Expected Responsibilities
Developing and optimizing machine learning algorithms for analyzing large‑scale genomic datasets.
Building scalable data pipelines and cloud‑based infrastructure to handle complex biological data.
Collaborating with interdisciplinary teams to translate research needs into robust software solutions for diagnostics, drug discovery, and personalized medicine protocols.
Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
Referrals increase your chances of interviewing at Epicrop Technologies Inc by 2x.
Get notified about new Software Engineer jobs in St Louis, MO.
#J-18808-Ljbffr