Bioinformatics - Manager with - AI/ML at Syncreon Consulting

Bridgewater Township, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI/ML, Bioinformatics, Data Integration, Visualization, Communication, Version Control, Molecular Modeling, Chemoinformatics, Biomedical NLP, Scientific Literature Mining, Ontology Construction, Preclinical Pharmacology, Toxicogenomics, Cloud Environments

Industry

Truck Transportation

Description

Company Description We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies Job Description Soft Skills Deep curiosity and excitement about connecting AI architectures with biological meaning. Excellent cross-disciplinary communication — able to converse equally well with AI engineers and biologists. Self-directed, detail-oriented, and comfortable working in a fast-paced, dynamic startup environment. Passionate about improving patient outcomes through innovative science and technology. Technical Skills Programming: Expert in Python (pandas, PyTorch, TensorFlow, scikit-learn, Hugging Face, PyTorch Geometric). AI/ML Expertise: Proficiency in LLMs, GNNs, transformers, and model fine-tuning workflows. Bioinformatics Tools: Familiar with databases such as Ensembl, UniProt, ChEMBL, DrugBank, GEO, and OMIM. Data Integration: Experience with multi-omics data fusion and biomedical knowledge graphs. Visualization & Communication: Skilled in building interpretable visualizations and clearly communicating computational findings. Version Control: Proficient in Git and collaborative coding practices. Familiarity with molecular modeling, chemoinformatics, or AI for protein–ligand interaction prediction. Experience in biomedical NLP, scientific literature mining, or ontology construction. Understanding of preclinical pharmacology or toxicogenomics. Experience working in cloud environments (GCP, AWS). Regards, Mohammed ilyas, PH - 229-264*4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

The manager will connect AI architectures with biological meaning and improve patient outcomes through innovative science and technology. They will also facilitate communication between AI engineers and biologists.