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Clinical scientist Jobs in Mississauga on

Last updated: 13 hours ago
  • Promoted
Sr. Data Scientist

Sr. Data Scientist

RaiseMississauga, Ontario, Canada
Full-time
Show moreLast updated: 9 days ago
Clinical Educator, Palliative

Clinical Educator, Palliative

Spectrum Health CareMississauga, ON, CA
Full-time
Show moreLast updated: 10 days ago
Rehab Assistant

Rehab Assistant

Bayshore HealthCareMississauga, ON
CAD30.06 hourly
Show moreLast updated: 30+ days ago
Marketing Performance Specialist (Data Scientist)

Marketing Performance Specialist (Data Scientist)

AmplifonMISSISSAUGA, ON, Canada
CAD40–CAD58 hourly
Show moreLast updated: 30+ days ago
Procurement Delivery Manager - Clinical

Procurement Delivery Manager - Clinical

RocheMississauga, Ontario, Canada
CAD50 hourly
Full-time
Show moreLast updated: 30+ days ago
Manager, Education and Clinical Simulation

Manager, Education and Clinical Simulation

OrngeMississauga, Ontario
CAD50000–CAD60000 yearly
Full-time
Show moreLast updated: 30+ days ago
  • New!
Scientist, Biologics

Scientist, Biologics

SGSMississauga, Ontario, Canada
Full-time
Show moreLast updated: 13 hours ago
Scientist I - Development Operations

Scientist I - Development Operations

Thermo Fisher ScientificMississauga, Ontario, Canada
CAD80000–CAD90000 yearly
Full-time
Show moreLast updated: 30+ days ago
Clinical Consultant

Clinical Consultant

BaxterMississauga, Ontario
CAD110000 yearly
Full-time
Show moreLast updated: 30+ days ago
Data Scientist

Data Scientist

ProcomMississauga, ON, CA
CAD75000–CAD120000 yearly
Full-time
Show moreLast updated: 30+ days ago
Director, Global Dev Scientist - Hematology

Director, Global Dev Scientist - Hematology

AstraZenecaMississauga,Canada
CAD112800–CAD169200 yearly
Full-time
Show moreLast updated: 30+ days ago
Environmental Engineering / Scientist, Graduate

Environmental Engineering / Scientist, Graduate

GHDMississauga, ON, Canada
CAD75000–CAD85000 yearly
Show moreLast updated: 30+ days ago
Senior Data Scientist, Performance Marketing

Senior Data Scientist, Performance Marketing

Launch PotatoMississauga, ON
Full-time
Show moreLast updated: 3 days ago
Senior Clinical Data Lead (CDL)

Senior Clinical Data Lead (CDL)

Alexion PharmaceuticalsCanada,Mississauga
Full-time
Show moreLast updated: 14 days ago
Data Scientist

Data Scientist

StafflinkMississauga, ON
CAD149200–CAD207300 yearly
Show moreLast updated: 30+ days ago
Software Scientist

Software Scientist

IntergraphMississauga, ON
CAD53.42 hourly
Full-time
Show moreLast updated: 30+ days ago
Senior Data Scientist

Senior Data Scientist

SAVORMETRICSMississauga
CAD102200–CAD142000 yearly
Show moreLast updated: 30+ days ago
Product Manager - (Senior Living, Clinical) (Canada)

Product Manager - (Senior Living, Clinical) (Canada)

PointClickCareMississauga, ON
CAD110000–CAD122000 yearly
Full-time
Show moreLast updated: 3 days ago
Sr. Data Scientist

Sr. Data Scientist

RaiseMississauga, Ontario, Canada
9 days ago
Job type
  • Full-time
Job description

Job Title : Data Scientist

Duration : 6+ Month’s contract (with extension; no end date to the contract)

Work Location : Toronto, ON (Hybrid-3 days in office- 9am to 5pm)

Job Description :

The Data Scientist is a role in the Digitalization Program Team and reports to the Project Director of Digitalization. They will play a pivotal role in building a roadmap of data analysis and science for operational data to drive planning and decision-making insights. The bulk of the work will be data modelling, management and problem analysis, data exploration and preparation, data collection and integration, and model operationalization defining the future of data practice.

Candidates need to be motivated, self-driven, curious and creative. Client is still building up its data analytics practice, the role could also cover the related roles of Data Engineer and DevOps engineer at times.

Data Scientist roles and responsibilities include :

  • Data mining or extracting usable data from valuable data sources
  • Using machine learning tools to select features, create and optimize classifiers
  • Carrying out preprocessing of structured and unstructured data
  • Enhancing data collection procedures to include all relevant information for developing analytic systems
  • Processing, cleansing, and validating the integrity of data to be used for analysis
  • Analyzing large amounts of information to find patterns and solutions
  • Developing prediction systems and machine learning algorithms
  • Presenting results in a clear manner
  • Collaborate with Business and IT teams
  • Develop ETL and data integration processes as need it.

Key Requirements

A successful candidate will have the expertise and skills described below :

Education and Training

  • A bachelor’s or master’s degree in computer science, data science, operations research, statistics, applied mathematics, or a related quantitative field [or equivalent work experience, such as in economics, engineering and physics] is preferred. Alternate experience and education in equivalent areas such as economics, engineering, or physics, is acceptable. Experience in more than one area is strongly preferred.
  • Candidates must have a specialization in ML, AI, cognitive science or data science.
  • Previous Business Experience

  • Candidates should have six or more years of relevant project experience in successfully executing data science projects. Preferably in the domains of customer behavior prediction, transportation, logistics operations.
  • A specialization in text analytics, image recognition, graph analysis or other specialized ML techniques such as deep learning, etc., is preferred.
  • Ideally, the candidates are adept in agile methodologies and well-versed in applying DevOps / MLOps methods to the construction of ML and data science pipelines.
  • Candidates should demonstrate Data Wrangling experience used in successfully implemented projects.
  • Candidates should exhibit significant project experience in applying ML and data science to business functions such as operations planning, customer journey analytics, marketing analytics.
  • Candidates need to demonstrate that they were instrumental in executing end-to-end significant data science projects.
  • Candidates should have demonstrated the ability to manage large data science projects including many data sources and diverse teams.
  • Candidates should have a growing track record of coaching other team members and providing training for knowledge transfer.
  • IT Knowledge / Skills

  • Coding knowledge and experience in several languages such as R, Python / Jupyter, SAS, Java, Scala, C++, Excel, MATLAB, etc.
  • Experience with popular database programming languages including SQL, PL / SQL, others for relational databases and upcoming nonrelational databases such as NoSQL / Hadoop-oriented databases such as MongoDB, Cassandra, others.
  • Experience with distributed data / computing tools : MapReduce, Hadoop, Hive, Kafka, MySQL.
  • Experience with operationalizing ML workflows using specialized MLOps frameworks such as Kubeflow, MLFlow, Liminal, Seldon Core, or general task orchestration frameworks such as AirFlow, Luigi, Argo and others. This may also include MLOps tools such as Domino Data Lab, IBM, TIBCO, Superwise.AI, Arthur.AI, Modzy, ModelOp and others.
  • Experience of working across multiple deployment environments including cloud, on-premises and multiple operating
  • Machine Learning and Data Science Knowledge / Skills

  • Experience in one or more of the following commercial / open-source data discovery / analysis platforms : RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, Microsoft AzureML.
  • Knowledge and experience in statistical and data mining techniques : generalized linear model (GLM) / regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis.
  • Interpersonal Skills and Characteristics

  • All candidates must be self-driven, curious, and creative.
  • All candidates must demonstrate the ability to work in diverse, cross-functional teams in a dynamic business environment.
  • All candidates should be confident, energetic self-starters, with strong moderation and communication skills.
  • All candidates should exhibit superior presentation skills, including storytelling and other techniques to guide and inspire.
  • All candidates should exhibit a strong business sense / acumen and be driven to business success.
  • All candidates should have a track record in launching innovative projects, gaining the respect of stakeholders at all levels and roles within the company.