29.10.2026 aktualisiert
100 % verfügbar
Applied AI & MLOps Engineer | Statistical Geneticist | Biomedical ML Specialist
Mössingen, Deutschland
Weltweit
PhD in Genetic Epidemiology, University of Pune (2014)Über mich
Applied AI, MLOps & Biostatistik (PhD, 13+ J.): Python, GenAI, RAG, LangGraph, Risikomodellierung, Confounder-Analysen & Multi-Omics (>150k Kohorten, 72 Publikationen). Deutsch B1, Englisch C2, deutsche Staatsangehörigkeit, verfügbar ab 01.11.2026.
Skills
Data Integration
AI Engineering & Multi-Agent Orchestration
Expertise in context engineering, multi-LLM and multi-agent orchestration, RAG, reranking and evaluation. Proficiency with LangChain, ChromaDB, PyTorch, scikit-learn, Python, R, Bash and SQL for building and operating production AI systems with claim-level provenance.
MLOps & DevOps
Hands-on experience with MLflow, DVC, Docker, Kubernetes, Airflow, Git/GitHub Actions, Prometheus, Grafana, model serving and drift monitoring, as well as HPC/SLURM, Snakemake and Nextflow for workflow orchestration across local and cloud compute environments.
Statistical Genetics & Biomedical Science
Deep knowledge of GWAS, Mendelian randomisation, HLA, fine mapping (SuSiE), colocalisation, eQTL/pQTL/sQTL, MR-PheWAS, PLINK, SAIGE and REGENIE, as well as RNA-seq, single-cell and multi-omics integration for biomedical research.
Research Automation & Reproducible Analysis
Building multi-step AI workflows for evidence synthesis and reproducible analysis, with every claim traced to its source, including biomedical evidence retrieval, reference verification, clinical-document extraction and manuscript consistency checks.
Genomics & Causal Inference
Bidirectional and multivariable Mendelian randomisation, gene-burden testing and multi-omics interpretation; SNP-array/WGS concordance and QC; reproducible GATK/hap.py variant-calling benchmarking.
Clinical & Epidemiological Research
Reanalysis of surgical, perioperative, patient-education and EEG studies using statistical and ML methods; addressing confounding, survival outcomes and missing data with sensitivity analyses and reproducible figures.
Scientific Writing & International Collaboration
First- and joint first-author publications in high-impact journals including Gut, Neurology and Movement Disorders. Collaboration with scientists and clinicians across countries on analysis, interpretation and revision.
Teaching & Knowledge Transfer
Teaching Applied Multiple Regression for students of Mathematik in Medizin und Lebenswissenschaften; creating reproducible code walkthroughs and automated narrated video lectures in scientific computing and AI.
Spatial & Single-Cell Transcriptomics
Training in spatial transcriptomics, single-cell transcriptomics in R, multi-omics data integration and biology-informed visualisation through SIB Swiss Institute of Bioinformatics (2026).
Protein Structure Prediction & Long-Read Sequencing
Familiarity with AlphaFold for protein structure prediction and long-read and Nanopore direct-RNA sequencing as part of advanced bioinformatics development.
Expertise in context engineering, multi-LLM and multi-agent orchestration, RAG, reranking and evaluation. Proficiency with LangChain, ChromaDB, PyTorch, scikit-learn, Python, R, Bash and SQL for building and operating production AI systems with claim-level provenance.
MLOps & DevOps
Hands-on experience with MLflow, DVC, Docker, Kubernetes, Airflow, Git/GitHub Actions, Prometheus, Grafana, model serving and drift monitoring, as well as HPC/SLURM, Snakemake and Nextflow for workflow orchestration across local and cloud compute environments.
Statistical Genetics & Biomedical Science
Deep knowledge of GWAS, Mendelian randomisation, HLA, fine mapping (SuSiE), colocalisation, eQTL/pQTL/sQTL, MR-PheWAS, PLINK, SAIGE and REGENIE, as well as RNA-seq, single-cell and multi-omics integration for biomedical research.
Research Automation & Reproducible Analysis
Building multi-step AI workflows for evidence synthesis and reproducible analysis, with every claim traced to its source, including biomedical evidence retrieval, reference verification, clinical-document extraction and manuscript consistency checks.
Genomics & Causal Inference
Bidirectional and multivariable Mendelian randomisation, gene-burden testing and multi-omics interpretation; SNP-array/WGS concordance and QC; reproducible GATK/hap.py variant-calling benchmarking.
Clinical & Epidemiological Research
Reanalysis of surgical, perioperative, patient-education and EEG studies using statistical and ML methods; addressing confounding, survival outcomes and missing data with sensitivity analyses and reproducible figures.
Scientific Writing & International Collaboration
First- and joint first-author publications in high-impact journals including Gut, Neurology and Movement Disorders. Collaboration with scientists and clinicians across countries on analysis, interpretation and revision.
Teaching & Knowledge Transfer
Teaching Applied Multiple Regression for students of Mathematik in Medizin und Lebenswissenschaften; creating reproducible code walkthroughs and automated narrated video lectures in scientific computing and AI.
Spatial & Single-Cell Transcriptomics
Training in spatial transcriptomics, single-cell transcriptomics in R, multi-omics data integration and biology-informed visualisation through SIB Swiss Institute of Bioinformatics (2026).
Protein Structure Prediction & Long-Read Sequencing
Familiarity with AlphaFold for protein structure prediction and long-read and Nanopore direct-RNA sequencing as part of advanced bioinformatics development.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2019
Sprachen
DeutschGrundkenntnisseEnglischverhandlungssicher
Projekthistorie
Coordinates AI agents and multiple cloud and local LLMs; builds multi-step AI workflows for evidence synthesis and reproducible analysis; builds multimodal text/image models with experiment tracking and a model registry; conducts genomics and causal inference studies; delivers manuscript projects spanning neurology, anaesthesiology, oncology, infectious disease and genomics; collaborates internationally and creates reproducible code walkthroughs and automated narrated video lectures.
Conducted multi-omics and causal-inference studies of immune-mediated and neurological diseases; first author of the first GWAS of idiopathic achalasia and led the first GWAS of lymphatic filariasis in a West African population; integrated HLA imputation, fine mapping (SuSiE) and eQTL evidence; contributed to aortic-stenosis GWAS; mentored PhD students.
Conducted genome-wide analyses for the international COURAGE-PD consortium; first author of its age-at-onset GWAS meta-analysis (Neurology, 2022) and joint first-author SV2C locus replication (Movement Disorders, 2021); developed reproducible multi-cohort analysis workflows and harmonised genetic data with international collaborators.