Marta Karas
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Marta Karas Email & Phone Number

Quantitative Sciences @Takeda | martakarass.github.io at Takeda
Location: Boston, Massachusetts, United States 14 work roles 3 schools
1 work email found @takeda.com LinkedIn matched
✓ Verified Jun 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email m****@takeda.com
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Current company
Role
Quantitative Sciences @Takeda | martakarass.github.io
Location
Boston, Massachusetts, United States

Who is Marta Karas? Overview

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Quick answer

Marta Karas is listed as Quantitative Sciences @Takeda | martakarass.github.io at Takeda, based in Boston, Massachusetts, United States. AeroLeads shows a work email signal at takeda.com and a matched LinkedIn profile for Marta Karas.

Marta Karas previously worked as Associate Director, Statistics at Takeda and Senior Manager, Statistics at Takeda. Marta Karas holds Doctor Of Philosophy - Phd, Biostatistics from Johns Hopkins Bloomberg School Of Public Health.

Company email context

Email format at Takeda

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{first}.{last}@takeda.com
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AeroLeads found 1 current-domain work email signal for Marta Karas. Compare company email patterns before reaching out.

Profile bio

About Marta Karas

As a statistician on Takeda’s Quantitative Sciences team, I focus on statistical modeling and analysis of data from digital devices such as wearable accelerometers, ambulatory blood pressure monitors, respiratory monitors, and polysomnography. My recent projects within industry and academia involve digital assessments in hypersomnolence disorders, ALS, and people with suicidal thinking.

Listed skills include R, Data Analysis, Data Mining, Mathematical Statistics, and 10 others.

Current workplace

Marta Karas's current company

Company context helps verify the profile and gives searchers a useful next step.

Takeda
Takeda
Quantitative Sciences @Takeda | martakarass.github.io
AeroLeads page
14 roles

Marta Karas work experience

A career timeline built from the work history available for this profile.

Associate Director, Statistics

Current

Tokyo, JP

Nov 2024 - Present

Senior Manager, Statistics

Tokyo, JP

Jan 2023 - Nov 2024

Data Science Intern

San Mateo, California, US

May 2020 - Aug 2020

Sensor Data Analytics Intern

Basel, Baselstadt, CH

Jun 2019 - Aug 2019

Data Scientist

Łaziska Górne, Śląskie, PL

Jul 2014 - Mar 2015

Data Scientist Intern

Wrocław, Dolnośląskie, PL

Jun 2014 - Jun 2014

Data Analyst Intern

Wrocław, Dolnośląskie, PL

Jul 2013 - Apr 2014

Software Engineer Intern

Nov 2012 - May 2013
3 education records

Marta Karas education

Doctor Of Philosophy - Phd, Biostatistics

Johns Hopkins Bloomberg School Of Public Health

Master'S Degree, Mathematics

Wrocław University Of Science And Technology

Bachelor'S Degree, Mathematics

Wrocław University Of Science And Technology
FAQ

Frequently asked questions about Marta Karas

Quick answers generated from the profile data available on this page.

What company does Marta Karas work for?

Marta Karas works for Takeda.

What is Marta Karas's role at Takeda?

Marta Karas is listed as Quantitative Sciences @Takeda | martakarass.github.io at Takeda.

What is Marta Karas's email address?

AeroLeads has found 1 work email signal at @takeda.com for Marta Karas at Takeda.

Where is Marta Karas based?

Marta Karas is based in Boston, Massachusetts, United States while working with Takeda.

What companies has Marta Karas worked for?

Marta Karas has worked for Takeda, Harvard T.H. Chan School Of Public Health, Johns Hopkins Bloomberg School Of Public Health, Evidation Health, and Novartis.

How can I contact Marta Karas?

You can use AeroLeads to view verified contact signals for Marta Karas at Takeda, including work email, phone, and LinkedIn data when available.

What schools did Marta Karas attend?

Marta Karas holds Doctor Of Philosophy - Phd, Biostatistics from Johns Hopkins Bloomberg School Of Public Health.

What skills is Marta Karas known for?

Marta Karas is listed with skills including R, Data Analysis, Data Mining, Mathematical Statistics, Regression Models, Predictive Modeling, Python, and Sql.

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