24.11.2025 aktualisiert

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100 % verfügbar

Data Scientist | Data Engineer | Bioinformatics

Lollar, Deutschland
Weltweit
Dr. rer. nat.
Lollar, Deutschland
Weltweit
Dr. rer. nat.

Profilanlagen

CV Dr Jonathan Alles.pdf

Über mich

I am an data scientist with a background in the pharma/healthcare industry. I specialize in developing data pipelines, automation and analytics solutions. I am a structured team player with several years of experience supporting international and cross-functional teams.

Skills

Amazon Web ServicesAnalyse-ToolsData AnalysisMicrosoft AzureBig DataBioinformatikBiotechnologieCloud ComputingClusteranalyseDatenbankenKonzeptualisierungInformation EngineeringETLRelationale DatenbankenDjangoTranskription (Genetik)DokumentenverarbeitungGenexpressionGenomicsGitHubPythonPostgreSQLNumPyOAuthOpenShiftPrototypingProzessautomatisierungTensorFlowSQLiteSQLFeature-EngineeringData ScienceFlaskLarge Language ModelsMulti-Agent SystemsModell-ValidierungAWS LambdaAWS ECSpandasData LakePySparkScikit-learnAWS AuroraAWS GlueAWS FargateFigmaNintexFront EndRestful ApisDaten-PipelineDockerDatabricks
Short Profile
I am an experienced data engineer with a background in the biotechnology industry. I specialize in developing scalable data pipelines, databases, dashboards, and analytics solutions. I am a structured team player with several years of experience supporting international and cross-functional teams.

Soft Skills
- Hands-on attitude and strong problem-solving skills
- Engaged team player with excellent communication skills
- Expertise in project conceptualization, planning, and milestone development
- Flexible and quick learner

Data Science
- Python, Pandas, Numpy, SciKit, TensorFlow
- Classification
- Clustering Analysis
- Feature Engineering, Model Training and Validation
- AWS SageMaker

LLMs & Agents

- LLM Frameworks (Langchain, Bedrock)
- Model Context Protocol (MCP)
- Embeddings & Vector Databases
- RAG Pipelines and Document Processing
- Model Validation
- Process Automation (N8N)

Cloud/Data Engineering
- SQL
- Django, Flask, RESTful API Development
- Relational Databases: Postgres, AWS Aurora, SQLite
- ETL/ELT & Data Pipelines: AWS Glue, PySpark, Databricks, Athena
- Data Lake & Lakehouse Concepts
- Docker, Fargate, Openshift
- AWS, Azure
- OAuth

UI & Frontend
- Data Apps (Streamlit, Shiny)
- Prototyping (Figma)

Bioinformatics & Genomics
- Genomics Data Analysis
- Transcriptomics and Gene Expression Analysis
- Single Cell Genomics
- Immunoreceptor Analysis

Erfahrung

Berufserfahrung5 - 10 Jahre
Freelancer seit2024

Sprachen

DeutschMutterspracheEnglischverhandlungssicher

Projekthistorie

Machine Learning Pipelines for Biomedical Data Classification

Start Up Healthcare

Pharma und Medizintechnik

10-50 Mitarbeiter

  1. Development and validation of machine learning pipelines for classification of patient datasets
  2. Planning, documentation and communication with non-technical stakeholders

Platform Engineering

Pharmaindustrie

Pharma und Medizintechnik

>10.000 Mitarbeiter

  1. Development of internal platform for scientific computation and data science
  2. Frontend conceptualization & developement (Streamlit)

Cloud Data Management Solution Clinical Trials

Ophiomics

Pharma und Medizintechnik

10-50 Mitarbeiter

  1. Cloud-hosted solution for storing and processing clinical trial datasets
  2. Streamlit-based user interface
  3. Data governance and audit-ready application setup

Data Scientist Biomedical and Genomics Data

BioNTech

Pharma und Medizintechnik

5000-10.000 Mitarbeiter

  • Developed ETL processes, data pipelines, and warehouses for genomics and biomarker data using Databricks platform
  • Implemented database systems and web apps for analytics and automation of laboratory processes
  • Managed laboratory workflows, documentation and reporting for clinical trials for internal and external stakeholders

Zertifikate

Databricks Certified Machine Learning Professional

Databricks Academy

2026

AWS Certified Data Engineer

Amazon Web Services (AWS)

2025

AWS Certified Cloud Practitioner

Amazon Web Service

2024

AI for Medicine

Coursera

2020

Deep Learning Specialization

Coursera

2019


Portfolio


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