Planet Pharma · 19 hours ago
Bioinformatics Manager
Bridgewater, NJ
Full-time
Onsite
Senior Level
$95/hr - $107/hr
5+ years expPlanet Pharma is seeking a Bioinformatics Manager to contribute to the development and application of AI models for target discovery and drug repurposing. The role involves collaboration across disciplines to ensure computational insights translate into therapeutic hypotheses and includes responsibilities in data integration, biological interpretation, and cross-functional collaboration.
BiotechnologyHealth CarePharmaceutical
Responsibilities
Design, train, and implement LLM- and GNN-based models to extract biological relationships from multi-modal data (omics, literature, chemistry, clinical)
Integrate knowledge graphs and structured biomedical databases to support hypothesis generation for novel targets and mechanisms
Collaborate with ML teams to fine-tune and evaluate models on domain-specific tasks such as gene–disease association, pathway prediction, and compound efficacy modeling
Apply AI-driven insights to identify, prioritize, and validate new drug targets and therapeutic hypotheses
Design in silico analyses to support mechanism-of-action elucidation, biomarker discovery, and patient stratification
Collaborate with wet-lab teams to translate computational predictions into experimental designs, ensuring seamless handoff between in silico and in vitro/in vivo validation
Integrate large-scale datasets from public and proprietary sources (e.g., transcriptomics, proteomics, CRISPR screens, literature corpora)
Curate structured datasets for LLM fine-tuning, knowledge graph expansion, and GNN training
Partner with drug discovery, data science, and AI engineering teams to align modeling objectives with biological relevance
Contribute to multi-disciplinary project teams driving programs from discovery through preclinical proof-of-concept
Communicate computational findings clearly to both scientific and non-technical stakeholders
Qualification
Required
Proven experience in target identification and translational discovery — from in silico analysis to preclinical validation
Strong understanding of molecular biology, pharmacology, and disease biology
Hands-on experience developing or applying AI/ML models to biological problems, especially LLMs, GNNs, or multi-modal integration architectures
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
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
PhD or MS with 5+ years of relevant experience in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or a related discipline
Preferred
Prior involvement in wet-lab collaboration (assay design, data interpretation, or experimental validation)
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)
Company
Planet Pharma
Planet Pharma is a pharmaceuticals company.
1001-5000 employees
H1B Sponsorship
Planet Pharma has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (3)
2021 (5)
2020 (5)
Funding
Current Stage
Late StageLeadership Team
Cynthia Lewis
Senior Executive Recruiter, Life Sciences - PPG Advisory Partners
Emma Morris
President, PPG Advisory Partners
Company data provided by crunchbase