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I'm Damla, a computational biologist and software-minded problem solver currently pursuing an MSc at ETH Zurich. I blend wet-lab experience with machine learning and data-driven approaches to understand peptide loading, immunopeptidomics, and biosensor development. I enjoy building interdisciplinary solutions that bridge biology, engineering, and data science to advance healthcare. I am passionate about turning complex biological data into actionable insights, building high-throughput platforms, and translating research into real-world diagnostics and therapeutics. My goal is to contribute to multi-disciplinary teams that design innovative healthcare technologies and evidence-based treatments.…I'm Damla, a computational biologist and software-minded problem solver currently pursuing an MSc at ETH Zurich. I blend wet-lab experience with machine learning and data-driven approaches to understand peptide loading, immunopeptidomics, and biosensor development. I enjoy building interdisciplinary solutions that bridge biology, engineering, and data science to advance healthcare. I am passionate about turning complex biological data into actionable insights, building high-throughput platforms, and translating research into real-world diagnostics and therapeutics. My goal is to contribute to multi-disciplinary teams that design innovative healthcare technologies and evidence-based treatments.

Damla Ortac

Data Scientist, Programmer, Full Stack Developer, +2

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I'm Damla, a computational biologist and software-minded problem solver currently pursuing an MSc at ETH Zurich. I blend wet-lab experience with machine learning and data-driven approaches to understand peptide loading, immunopeptidomics, and biosensor development. I enjoy building interdisciplinary solutions that bridge biology, engineering, and data science to advance healthcare. I am passionate about turning complex biological data into actionable insights, building high-throughput platforms, and translating research into real-world diagnostics and therapeutics. My goal is to contribute to multi-disciplinary teams that design innovative healthcare technologies and evidence-based treatments.…I'm Damla, a computational biologist and software-minded problem solver currently pursuing an MSc at ETH Zurich. I blend wet-lab experience with machine learning and data-driven approaches to understand peptide loading, immunopeptidomics, and biosensor development. I enjoy building interdisciplinary solutions that bridge biology, engineering, and data science to advance healthcare. I am passionate about turning complex biological data into actionable insights, building high-throughput platforms, and translating research into real-world diagnostics and therapeutics. My goal is to contribute to multi-disciplinary teams that design innovative healthcare technologies and evidence-based treatments.

Available to hire

I’m Damla, a computational biologist and software-minded problem solver currently pursuing an MSc at ETH Zurich. I blend wet-lab experience with machine learning and data-driven approaches to understand peptide loading, immunopeptidomics, and biosensor development. I enjoy building interdisciplinary solutions that bridge biology, engineering, and data science to advance healthcare.

I am passionate about turning complex biological data into actionable insights, building high-throughput platforms, and translating research into real-world diagnostics and therapeutics. My goal is to contribute to multi-disciplinary teams that design innovative healthcare technologies and evidence-based treatments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

Turkish

Advanced

English

Fluent

Work Experience

Portfolio Management Intern at Roche Diagnostics International AG

September 1, 2024 - February 1, 2025

Worked in the Core Portfolio Management Team of the Project and Portfolio Management Division. Developed visual dashboards to improve data quality and pipeline transparency across portfolios. Supported CEO-level requests and strategic deliverables, collaborating with Finance and Market and Competitive Insights teams on segment analysis. Helped create Near Patient Care (NPC) investment roadmap by consolidating strategy brainstorms.

Software Engineering Intern at Stripe

June 1, 2022 - September 1, 2022

Worked in the Local Payment Methods Reliability team. Processed data regarding local payment methods outages and degradations to determine affected requests and estimate monetary loss due to such outages.

STEP Intern at Google

July 1, 2021 - September 1, 2021

Worked in the Assistant Search Handover (ASH) team on the ASH Prefetch Classification Project. Modified the ASH infrastructure in C++ to accommodate a new model; prepped datasets using SQL; trained a transformer-based LLM to predict if a query is likely to be complete; contributed to capacity and latency optimizations.