Data Scientist, Biologics Engineering, Oncology R&D

Central to

this

role

will

be the

development

of

end-to-end data management and

analysis

capabilities

to

deliver

novel

biologics

drugs

driven by

industry

-leading

biologics

R&D data

.

You

will

become

part

of

an

interdisciplinary

Bioinformatics

team,

working

at the

heart

of

research and

development

creating

an

active

learning

system, in

which

model

predictions

guide

lab

experiments,

lab

automation

generates

high-throughput

data for

model

training

, and

predictive

models

are

updated

as new data

are

generated

.
ASTRAZENECA
With

one

of

the

broadest

and

deepest

Oncology

pipelines in the

industry

,

there

are

many

opportunities

to

work

with

novel

drugs

and

help

discover

what's

next

.

We

foster a

mindset

of

courage

,

where

everyone

is

empowered

to step

up

,

innovate

and

work

at

pace

.

We

lead

through

true

collaboration

,

building

collective

wisdom

by

giving

everyone

a

chance

to input.

It's

science

with

an

impact-making

a

difference

for patients and

people

around

the

world

.
SITE DESCRIPTION
The

role

is

based

in

our

new

ground-breaking

Discovery Centre (DISC)

located

on the Cambridge

Biomedical

Campus.

This

newly

purpose-built

building

brings

together

the

company’s

research and

development

activity

in a

pioneering

strategic

R&D

centre

and global

corporate

headquarters

. The

building

has

been

designed

with

open

architecture

reflecting

AstraZeneca’s

approach to research.

Open

laboratories

and glass

walls

will

enable

new

ways

of

working

across

teams,

whilst

a central

courtyard

will

put

science on full display.

When

we

put

unexpected

teams in the same

room

,

we

unleash

bold

thinking

with

the

power

to

inspire

life-changing

medicines

. In-person

working

gives

us

the

platform

we

need

to

connect

,

work

at

pace

and

challenge

perceptions.

That’s

why

we

work

, on

average

, a minimum

of

three

days

per

week

from the

office

.

But

that

doesn't

mean

we’re

not flexible.

We

balance

the

expectation

of

being

in the

office

while

respecting

individual

flexibility

.

Join

us

in

our

unique

and

ambitious

world

.
BUSINESS AREA
Join the Biologics Engineering team at AstraZeneca, where we are responsible for the discovery and optimisation of next-generation biological drug candidates across all key therapy areas. We are developing in-house biologics discovery platforms and novel drug modalities to address unmet medical needs. Be empowered to act fast on smart risks and keep ahead in the fast-paced Oncology field.
What you'll do
You

will

work

closely

with

our

R&D scientists in

fields

of

software

engineering

,

lab

automation,

computational

modelling

and

machine

learning

,

with

access to

biologics

R&D data

across

AstraZeneca

constantly

generating new data to

both

build

and

inform

predictive

models

.

Thisrole

provides

the

opportunity

for a

motivated

Bioinformatician

/ Data Scientist to

develop

and

manage

the

flow

of

data to

create

end-to-end data management

capabilities

that

will

have

a

significant

impact

on the

delivery

of

the

novel

biologics

drugs

of

the

future

.
Work

with

scientists

across

Biologics

Engineering

to

develop

end-to-end data management

capabilities

for

biologics

discovery

,

creating

automated

pipelines for the

flow

of

data.

Develop

applications

to

configure

and

customize

commercial

Genedata

Biologics

software for

tracking

biologics

discovery

data from

antibody

screening, protein

engineering

and protein

production

.

Extend

the

functionality

of

Genedata

Biologics

by

developing

custom

computational

tools

using

its

Java Software

Development

Kit, for data

ingestion

from

lab

instruments and for data

analysis

.

Collaborate

with

IT

functions

responsible

for the

deployment

and

maintenance

of

the live

Genedata

Biologics

system and

its

integration

with

external

databases

.

Collaborate

with

web

application

developers

to

integrate

the

Genedata

Biologics

system

with

custom

applications

for experiment design and data

analysis

.

Collaborate

with

machine

learning

colleagues

to

develop

an

active

learning

system

that

continually

trains

machine

learning

models

on data from

biologics

experiments and

uses

these

data to

inform

subsequent

experiments.

Learn

about

leading

machine

learning

methods

for

biologics

design and for

active

learning

applied

to

biologics

experiments.

Essential for the role
MSc

degree

or

equivalent

experience

in computer science,

bioinformatics

or in a relevant

computational

field

Experience

of

working

in a

scientific

environment

,

generating

insights

from R&D data sets

–

preferably

Drug

Discovery.

Experience

with

SQL,

including

configuring

and

querying

databases

programmatically

.

Experience

developing

high-quality

object

oriented

software in Java or

Python

.

Experience

with

software

development

best

practices

.

Experience

working

with

Genedata

Biologics

or

similar

platform

for

biological

data management.

Experience

working

within

a team

environment

.

Can

-do

attitude

.

Acts

with

integrity

and

does

the right

thing

.

Desire

to

learn

and

grow

.

Desirable for the role
Ph.D. in relevant

field

Experience

working

at interface

of

dry

/

wet

lab.

Knowledge

of

data formats for

lab

automation

equipment

.

Demonstrated

agile

methodology

familiarity

Experience

developing

,

debugging

and data

analysis

pipelines and an

understanding

of

the data

requirements

for

downstream

machine

learning

.

Exposure to

graph

database

systems and

related

query

languages

e.g

. SPARQL

Why AstraZeneca?
When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines.
Competitive salary & benefits
Close date: 10/05/2024
So, what’s next!
Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you. Don't delay, apply today!

Where can I find out more?
Our Social Media, Follow AstraZeneca on LinkedIn:

https://www.linkedin.com/company/1603/
Inclusion & Diversity:

https://careers.astrazeneca.com/inclusion-diversity
Career Site:

https://careers.astrazeneca.com/

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