Data Scientist I-II

Data Scientist Sapient is a fast-growing early-stage biotech company headquartered in San Diego, CA. Our focus is on delivering multi-omics services to accelerate drug development and transform personalized medicine. Combining

state-of-the-art

mass spectrometry technology with advanced biocomputational services and multifaceted human health data, we enable biomarker discovery at unprecedented speed and scale to provide a deeper understanding of human biology and effectively align biological targets, patients, and drug therapies. We are a highly collaborative team of passionate scientists, clinicians, and engineers with

expertise

in various disciplines, committed to making innovations with scientific rigor.

Ultimately, our

platform technology enhances the precision and efficacy of treatments, touching and enhancing countless lives. About The Role: We are in search of a passionate Data Scientist to support

Sapient’s

biomarker discovery service offerings and R&D effort with insights gained from analyzing clinical and multi-omics data. This role is within the data science team

and working under the oversight and mentorship of

a senior data scientist

.

This role will

focus on

solving structured problems and

deriving insights from metabolomics,

proteomics,

genomics, and clinical data

.

The data scientist

will have

experience

s

using a variety of data mining and statistical analysis methods

and platforms

,

building

and implementing models, using and creating algorithms, and contributing to

final insights on biomarker discoveries

.

The data scientist will work with a wide range of stakeholders and collaborate with

engineers,

chemists, biologists, clinicians within and outside of the Company, and will have a demonstrated ability to drive biomarker discovery with their data-based insights.

This is

a great opportunity

to tackle a diverse set of problems while shaping the future of

drug development and healthcare. Responsibilities

: W

ork

with supervision and guidance

to analyze datasets, mine databases, and create code according to Company-defined good practice, to drive optimization and improvement within and across projects. Apply statistical and machine learning methods with rigor to high-dimensional omics and clinical data to derive insights. Collaborate with scientists and clinicians

internally and externally

to investigate scientific and medical problems with rigorous analyses and critical thinking

. Communicate methods used, data insights, and scientific findings to collaborators and clients with clarity

. Experience and Qualifications: MS, or PhD in Biostatistics, Bioinformatics, Computational Biology, Bioengineering, Data Science, Applied Math, Physics, or Life Science related scientific field. 2

+ years of hands-on experience in statistical analysis and data mining, as well as modeling and coding. D

eep knowledge and understanding of statistical methods and basic machine learning algorithms

. Life science domain knowledge and good intuition in applying

appropriate

data

analysis

approaches to

best

address questions

given the

scientific context

. Experience in

clinical or epidemiological study data analysis

is preferred

. C

onsistent use

of

git

or other code management tool

s

is preferred

. P

roficiency

in

Python

or R

for

product-level

code development

. Strong use of clean code principles

,

testing principles

,

and understanding of CI/CD processes

is preferred

. Experience with database query language (

e.g.

SQL) and cloud computing (

e.g.

AWS) is preferred Excellence

in

communicating findings by

visualizing the results,

composing

presentation slides

,

and

forming a scientific

report. Self-motivated

, dedicat

ed

, and account

able

. Curious and eager to grow,

thriving in a dynamic and intellectually challenging environment

. Great team

player

. Position Location – San Diego, California (Sorrento Valley) Position Type – Full-time,

on-site Compensation Range – $1

0

0K-$1

35

K Sapient is an equal opportunity employer

.

We value diversity, inclusivity and belonging of all people from different

cultures

socioeconomic backgrounds

.

We do not discriminate based on race, ethnicity, gender, age, sex,

disability

or any other secondary biases.

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